{smcl}
{txt}{sf}{ul off}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}/Users/gregorylove/Dropbox/PSRM revisions/PSRM replication_4_26.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}26 Apr 2021, 12:13:09
{txt}
{com}. 
.  use "psrm4_22.dta", clear
{txt}
{com}. 
. **Figure 2**
.   reg approval q_grow_pc c.q_gini_net q_log    

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,877
{txt}{hline 13}{c +}{hline 34}   F(3, 1873)      = {res}    50.43
{txt}       Model {c |} {res} 31911.0504         3  10637.0168   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 395060.787     1,873  210.924072   {txt}R-squared       ={res}    0.0747
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0733
{txt}       Total {c |} {res} 426971.837     1,876  227.596928   {txt}Root MSE        =   {res} 14.523

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       approval{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}q_grow_pc {c |}{col 17}{res}{space 2} .7697264{col 29}{space 2} .1054503{col 40}{space 1}    7.30{col 49}{space 3}0.000{col 57}{space 4} .5629141{col 70}{space 3} .9765388
{txt}{space 5}q_gini_net {c |}{col 17}{res}{space 2}-48.36755{col 29}{space 2} 7.997132{col 40}{space 1}   -6.05{col 49}{space 3}0.000{col 57}{space 4}-64.05178{col 70}{space 3}-32.68332
{txt}q_log_inflation {c |}{col 17}{res}{space 2}-1.081683{col 29}{space 2} .2375406{col 40}{space 1}   -4.55{col 49}{space 3}0.000{col 57}{space 4}-1.547555{col 70}{space 3}-.6158109
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} 70.18936{col 29}{space 2}  3.81408{col 40}{space 1}   18.40{col 49}{space 3}0.000{col 57}{space 4} 62.70907{col 70}{space 3} 77.66965
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. xtline approval if e(sample), tlabel(, angle(forty_five)) byopts(legend(off)) scheme(sj) byopts(graphregion(fcolor(white))) byopts(cols(3)) subtitle(, fcolor(gs14)) byopts(title(Figure 2. Quarterly Estimates of Presidential Approval in Latin America)) ytitle("") 
{res}{txt}
{com}. 
. **Table 1*
. **Model I***
.  xtgls approval  l(0/1).c.q_grow_pc##c.q_gini_net l(0/1).q_log l(0/2).leader_change f(1/2).leader_change  if  rightpres==0   , cor(psar1) force    panels(heteroskedastic) rho(freg)
{txt}(note: {res}1{txt} observations dropped because only 1 obs in group)

Cross-sectional time-series FGLS regression

Coefficients:  {res}generalized least squares
{txt}Panels:        {res}heteroskedastic
{txt}Correlation:   {res}panel-specific AR(1)

{txt}Estimated covariances{col 28}= {res}       13{txt}{col 49}Number of obs{col 67}= {res}       501
{txt}Estimated autocorrelations{col 28}= {res}       13{txt}{col 49}Number of groups{col 67}= {res}        13
{txt}Estimated coefficients{col 28}= {res}       13{txt}{col 49}Obs per group:
{col 63}min{col 67}= {res}        15
{txt}{col 63}avg{col 67}=  {res} 38.53846
{txt}{col 63}max{col 67}= {res}        69
{txt}{col 49}Wald chi2({res}12{txt}){col 67}=  {res}   112.05
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                 approval{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      z{col 59}   P>|z|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}q_grow_pc {c |}
{space 22}--. {c |}{col 27}{res}{space 2}-2.878858{col 39}{space 2} 3.588791{col 50}{space 1}   -0.80{col 59}{space 3}0.422{col 67}{space 4}-9.912759{col 80}{space 3} 4.155043
{txt}{space 22}L1. {c |}{col 27}{res}{space 2} 8.199754{col 39}{space 2} 3.519036{col 50}{space 1}    2.33{col 59}{space 3}0.020{col 67}{space 4}  1.30257{col 80}{space 3} 15.09694
{txt}{space 25} {c |}
{space 15}q_gini_net {c |}{col 27}{res}{space 2} 15.05566{col 39}{space 2} 33.19886{col 50}{space 1}    0.45{col 59}{space 3}0.650{col 67}{space 4}-50.01292{col 80}{space 3} 80.12423
{txt}{space 25} {c |}
{space 1}c.q_grow_pc#c.q_gini_net {c |}{col 27}{res}{space 2} 8.089822{col 39}{space 2} 8.305398{col 50}{space 1}    0.97{col 59}{space 3}0.330{col 67}{space 4}-8.188458{col 80}{space 3}  24.3681
{txt}{space 25} {c |}
cL.q_grow_pc#c.q_gini_net {c |}{col 27}{res}{space 2}-19.73851{col 39}{space 2} 8.134359{col 50}{space 1}   -2.43{col 59}{space 3}0.015{col 67}{space 4}-35.68156{col 80}{space 3}-3.795461
{txt}{space 25} {c |}
{space 10}q_log_inflation {c |}
{space 22}--. {c |}{col 27}{res}{space 2}-7.964765{col 39}{space 2} 1.485441{col 50}{space 1}   -5.36{col 59}{space 3}0.000{col 67}{space 4}-10.87617{col 80}{space 3}-5.053354
{txt}{space 22}L1. {c |}{col 27}{res}{space 2} 2.376711{col 39}{space 2} 1.683761{col 50}{space 1}    1.41{col 59}{space 3}0.158{col 67}{space 4}-.9233987{col 80}{space 3} 5.676822
{txt}{space 25} {c |}
{space 12}leader_change {c |}
{space 22}--. {c |}{col 27}{res}{space 2} 3.784327{col 39}{space 2} .9994905{col 50}{space 1}    3.79{col 59}{space 3}0.000{col 67}{space 4} 1.825362{col 80}{space 3} 5.743293
{txt}{space 22}L1. {c |}{col 27}{res}{space 2} 4.182071{col 39}{space 2} .9270791{col 50}{space 1}    4.51{col 59}{space 3}0.000{col 67}{space 4} 2.365029{col 80}{space 3} 5.999112
{txt}{space 22}L2. {c |}{col 27}{res}{space 2}  1.24445{col 39}{space 2} .7304629{col 50}{space 1}    1.70{col 59}{space 3}0.088{col 67}{space 4}-.1872309{col 80}{space 3} 2.676131
{txt}{space 22}F1. {c |}{col 27}{res}{space 2} 1.258295{col 39}{space 2} .9896359{col 50}{space 1}    1.27{col 59}{space 3}0.204{col 67}{space 4} -.681356{col 80}{space 3} 3.197945
{txt}{space 22}F2. {c |}{col 27}{res}{space 2} .1128595{col 39}{space 2} .8023319{col 50}{space 1}    0.14{col 59}{space 3}0.888{col 67}{space 4}-1.459682{col 80}{space 3} 1.685401
{txt}{space 25} {c |}
{space 20}_cons {c |}{col 27}{res}{space 2} 55.69808{col 39}{space 2} 15.24023{col 50}{space 1}    3.65{col 59}{space 3}0.000{col 67}{space 4} 25.82779{col 80}{space 3} 85.56838
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.   outreg2 using "table1 m1"
{browse `"/Users/gregorylove/Dropbox/PSRM revisions"' :dir} : {txt}{stata `"seeout using "table1 m1.txt""':seeout}

{com}.   
.    **get number of admins in sample**
.          tab leader_change if e(sample)

{txt}Inauguratio {c |}
    n Dummy {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        465       92.63       92.63
{txt}          1 {c |}{res}         37        7.37      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        502      100.00
{txt}
{com}.    
.  **Model III**  
. xtgls approval  l(1).c.q_grow_pc##c.q_gini_net l(0).q_log l(0/2).leader_change f(1).leader_change if  rightpres==0   , cor(psar1) force    panels(heteroskedastic) rho(freg)
{txt}(note: {res}1{txt} observations dropped because only 1 obs in group)

Cross-sectional time-series FGLS regression

Coefficients:  {res}generalized least squares
{txt}Panels:        {res}heteroskedastic
{txt}Correlation:   {res}panel-specific AR(1)

{txt}Estimated covariances{col 28}= {res}       13{txt}{col 49}Number of obs{col 67}= {res}       507
{txt}Estimated autocorrelations{col 28}= {res}       13{txt}{col 49}Number of groups{col 67}= {res}        13
{txt}Estimated coefficients{col 28}= {res}        9{txt}{col 49}Obs per group:
{col 63}min{col 67}= {res}        15
{txt}{col 63}avg{col 67}=  {res}       39
{txt}{col 63}max{col 67}= {res}        69
{txt}{col 49}Wald chi2({res}8{txt}){col 67}=  {res}   100.08
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                 approval{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      z{col 59}   P>|z|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}q_grow_pc {c |}
{space 22}L1. {c |}{col 27}{res}{space 2} 6.096968{col 39}{space 2} 2.288403{col 50}{space 1}    2.66{col 59}{space 3}0.008{col 67}{space 4}  1.61178{col 80}{space 3} 10.58216
{txt}{space 25} {c |}
{space 15}q_gini_net {c |}{col 27}{res}{space 2} 21.99361{col 39}{space 2} 32.96626{col 50}{space 1}    0.67{col 59}{space 3}0.505{col 67}{space 4}-42.61908{col 80}{space 3} 86.60629
{txt}{space 25} {c |}
cL.q_grow_pc#c.q_gini_net {c |}{col 27}{res}{space 2}-13.92736{col 39}{space 2} 5.330348{col 50}{space 1}   -2.61{col 59}{space 3}0.009{col 67}{space 4}-24.37465{col 80}{space 3}-3.480069
{txt}{space 25} {c |}
{space 10}q_log_inflation {c |}{col 27}{res}{space 2}-5.770627{col 39}{space 2} .7801669{col 50}{space 1}   -7.40{col 59}{space 3}0.000{col 67}{space 4}-7.299726{col 80}{space 3}-4.241528
{txt}{space 25} {c |}
{space 12}leader_change {c |}
{space 22}--. {c |}{col 27}{res}{space 2} 3.727537{col 39}{space 2} .9123946{col 50}{space 1}    4.09{col 59}{space 3}0.000{col 67}{space 4} 1.939277{col 80}{space 3} 5.515798
{txt}{space 22}L1. {c |}{col 27}{res}{space 2} 4.076907{col 39}{space 2} .8791333{col 50}{space 1}    4.64{col 59}{space 3}0.000{col 67}{space 4} 2.353837{col 80}{space 3} 5.799977
{txt}{space 22}L2. {c |}{col 27}{res}{space 2} 1.231247{col 39}{space 2} .7079376{col 50}{space 1}    1.74{col 59}{space 3}0.082{col 67}{space 4}-.1562848{col 80}{space 3}  2.61878
{txt}{space 22}F1. {c |}{col 27}{res}{space 2} 1.061121{col 39}{space 2} .7774861{col 50}{space 1}    1.36{col 59}{space 3}0.172{col 67}{space 4} -.462724{col 80}{space 3} 2.584965
{txt}{space 25} {c |}
{space 20}_cons {c |}{col 27}{res}{space 2}  53.0339{col 39}{space 2} 15.08867{col 50}{space 1}    3.51{col 59}{space 3}0.000{col 67}{space 4} 23.46065{col 80}{space 3} 82.60714
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.   outreg2 using "table1 m3"
{browse `"/Users/gregorylove/Dropbox/PSRM revisions"' :dir} : {txt}{stata `"seeout using "table1 m3.txt""':seeout}

{com}.   
.    **get number of admins in sample**
.          tab leader_change if e(sample)

{txt}Inauguratio {c |}
    n Dummy {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        471       92.72       92.72
{txt}          1 {c |}{res}         37        7.28      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        508      100.00
{txt}
{com}.  
. gen pipe = "|"
{txt}
{com}. 
. gen where=-3
{txt}
{com}.  margins , dydx(l.q_grow_pc) at( q_gini_net=(.36(.001).54)) level(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}       508

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Fitted values, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.q_grow_pc}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:q_gini_net}{space 6}{txt:=} {space 8}.36}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:q_gini_net}{space 6}{txt:=} {space 7}.361}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:q_gini_net}{space 6}{txt:=} {space 7}.362}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:q_gini_net}{space 6}{txt:=} {space 7}.363}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:q_gini_net}{space 6}{txt:=} {space 7}.364}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:q_gini_net}{space 6}{txt:=} {space 7}.365}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:q_gini_net}{space 6}{txt:=} {space 7}.366}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:q_gini_net}{space 6}{txt:=} {space 7}.367}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:q_gini_net}{space 6}{txt:=} {space 7}.368}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:q_gini_net}{space 6}{txt:=} {space 7}.369}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:q_gini_net}{space 6}{txt:=} {space 8}.37}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:12._at}:{space 1}{res:{txt:q_gini_net}{space 6}{txt:=} {space 7}.371}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:13._at}:{space 1}{res:{txt:q_gini_net}{space 6}{txt:=} {space 7}.372}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:14._at}:{space 1}{res:{txt:q_gini_net}{space 6}{txt:=} {space 7}.373}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:15._at}:{space 1}{res:{txt:q_gini_net}{space 6}{txt:=} {space 7}.374}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:16._at}:{space 1}{res:{txt:q_gini_net}{space 6}{txt:=} {space 7}.375}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:17._at}:{space 1}{res:{txt:q_gini_net}{space 6}{txt:=} {space 7}.376}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:18._at}:{space 1}{res:{txt:q_gini_net}{space 6}{txt:=} {space 7}.377}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:19._at}:{space 1}{res:{txt:q_gini_net}{space 6}{txt:=} {space 7}.378}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:20._at}:{space 1}{res:{txt:q_gini_net}{space 6}{txt:=} {space 7}.379}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:21._at}:{space 1}{res:{txt:q_gini_net}{space 6}{txt:=} {space 8}.38}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:22._at}:{space 1}{res:{txt:q_gini_net}{space 6}{txt:=} {space 7}.381}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:23._at}:{space 1}{res:{txt:q_gini_net}{space 6}{txt:=} {space 7}.382}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:24._at}:{space 1}{res:{txt:q_gini_net}{space 6}{txt:=} {space 7}.383}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:25._at}:{space 1}{res:{txt:q_gini_net}{space 6}{txt:=} {space 7}.384}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:26._at}:{space 1}{res:{txt:q_gini_net}{space 6}{txt:=} {space 7}.385}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:27._at}:{space 1}{res:{txt:q_gini_net}{space 6}{txt:=} {space 7}.386}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:28._at}:{space 1}{res:{txt:q_gini_net}{space 6}{txt:=} {space 7}.387}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:29._at}:{space 1}{res:{txt:q_gini_net}{space 6}{txt:=} {space 7}.388}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:30._at}:{space 1}{res:{txt:q_gini_net}{space 6}{txt:=} {space 7}.389}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:31._at}:{space 1}{res:{txt:q_gini_net}{space 6}{txt:=} {space 8}.39}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:32._at}:{space 1}{res:{txt:q_gini_net}{space 6}{txt:=} {space 7}.391}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:33._at}:{space 1}{res:{txt:q_gini_net}{space 6}{txt:=} {space 7}.392}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:34._at}:{space 1}{res:{txt:q_gini_net}{space 6}{txt:=} {space 7}.393}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:35._at}:{space 1}{res:{txt:q_gini_net}{space 6}{txt:=} {space 7}.394}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:36._at}:{space 1}{res:{txt:q_gini_net}{space 6}{txt:=} {space 7}.395}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:37._at}:{space 1}{res:{txt:q_gini_net}{space 6}{txt:=} {space 7}.396}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:38._at}:{space 1}{res:{txt:q_gini_net}{space 6}{txt:=} {space 7}.397}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:39._at}:{space 1}{res:{txt:q_gini_net}{space 6}{txt:=} {space 7}.398}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:40._at}:{space 1}{res:{txt:q_gini_net}{space 6}{txt:=} {space 7}.399}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:41._at}:{space 1}{res:{txt:q_gini_net}{space 6}{txt:=} {space 9}.4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:42._at}:{space 1}{res:{txt:q_gini_net}{space 6}{txt:=} {space 7}.401}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:43._at}:{space 1}{res:{txt:q_gini_net}{space 6}{txt:=} {space 7}.402}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:44._at}:{space 1}{res:{txt:q_gini_net}{space 6}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:45._at}:{space 1}{res:{txt:q_gini_net}{space 6}{txt:=} {space 7}.404}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:46._at}:{space 1}{res:{txt:q_gini_net}{space 6}{txt:=} {space 7}.405}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:47._at}:{space 1}{res:{txt:q_gini_net}{space 6}{txt:=} {space 7}.406}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:48._at}:{space 1}{res:{txt:q_gini_net}{space 6}{txt:=} {space 7}.407}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:49._at}:{space 1}{res:{txt:q_gini_net}{space 6}{txt:=} {space 7}.408}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:50._at}:{space 1}{res:{txt:q_gini_net}{space 6}{txt:=} {space 7}.409}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{col 14}{c |}{col 26} Delta-method
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{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.          
. 
. marginsplot, recast(line) recastci(rline)  yline(0) scheme(sj)  xtitle(Inequality) xscale(range(.35 .53)) xlabel(.35(.06).53) xtitle(, size(medsmall))  graphregion(fcolor(white) lcolor(white)) title("Leftist Presidents", size(medium)) xsize(5.84) ysize(4.25) addplot(scatter where q_gini_net if e(sample), plotr(m(b 4)) ms(none) mlabcolor(gs5) mlabel(pipe) mlabpos(6) legend(off) xlabel(.35(.06).53) below ) 
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: q_gini_net{p_end}
{res}{txt}
{com}. 
. graph save Graph "left_growth", replace
{res}{txt}(file left_growth.gph saved)

{com}. 
. drop where
{txt}
{com}. gen where=-400
{txt}
{com}.  quietly: margins , dydx(q_gini_net) at( l.q_grow_pc=(-10(1)16) ) level(95)
{txt}
{com}. marginsplot, recast(line) recastci(rline)  yline(0) scheme(sj)  xtitle(Growth) xtitle(, size(medsmall))    graphregion(fcolor(white) lcolor(white)) title("Conditional Effect of Inequality on Approval for Leftist Presidents, 95% c.i.", size(medium)) xsize(5.84) ysize(4.25) addplot(scatter where q_grow_pc if e(sample), plotr(m(b 4)) ms(none) mlabcolor(gs5) mlabel(pipe) mlabpos(6) legend(off) below ) 
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: L.q_grow_pc{p_end}
{res}{txt}
{com}. graph save Graph "left_inequality", replace
{res}{txt}(file left_inequality.gph saved)

{com}. 
.  **Model II**
.   xtgls approval  l(0/1).c.q_grow_pc##c.q_gini_net l(0/1).q_log l(0/2).leader_change f(1/2).leader_change if  rightpres==1   , cor(psar1) force    panels(heteroskedastic) rho(freg)

{txt}Cross-sectional time-series FGLS regression

Coefficients:  {res}generalized least squares
{txt}Panels:        {res}heteroskedastic
{txt}Correlation:   {res}panel-specific AR(1)

{txt}Estimated covariances{col 28}= {res}       18{txt}{col 49}Number of obs{col 67}= {res}     1,195
{txt}Estimated autocorrelations{col 28}= {res}       18{txt}{col 49}Number of groups{col 67}= {res}        18
{txt}Estimated coefficients{col 28}= {res}       13{txt}{col 49}Obs per group:
{col 63}min{col 67}= {res}        28
{txt}{col 63}avg{col 67}=  {res} 66.38889
{txt}{col 63}max{col 67}= {res}       141
{txt}{col 49}Wald chi2({res}12{txt}){col 67}=  {res}   100.86
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                 approval{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      z{col 59}   P>|z|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}q_grow_pc {c |}
{space 22}--. {c |}{col 27}{res}{space 2} .7472195{col 39}{space 2} 1.816862{col 50}{space 1}    0.41{col 59}{space 3}0.681{col 67}{space 4}-2.813765{col 80}{space 3} 4.308204
{txt}{space 22}L1. {c |}{col 27}{res}{space 2}-3.462975{col 39}{space 2} 1.817449{col 50}{space 1}   -1.91{col 59}{space 3}0.057{col 67}{space 4}-7.025109{col 80}{space 3}  .099159
{txt}{space 25} {c |}
{space 15}q_gini_net {c |}{col 27}{res}{space 2}-31.16362{col 39}{space 2} 26.31911{col 50}{space 1}   -1.18{col 59}{space 3}0.236{col 67}{space 4}-82.74812{col 80}{space 3} 20.42088
{txt}{space 25} {c |}
{space 1}c.q_grow_pc#c.q_gini_net {c |}{col 27}{res}{space 2} -1.59828{col 39}{space 2} 3.970213{col 50}{space 1}   -0.40{col 59}{space 3}0.687{col 67}{space 4}-9.379755{col 80}{space 3} 6.183194
{txt}{space 25} {c |}
cL.q_grow_pc#c.q_gini_net {c |}{col 27}{res}{space 2} 7.889224{col 39}{space 2} 3.969112{col 50}{space 1}    1.99{col 59}{space 3}0.047{col 67}{space 4} .1099083{col 80}{space 3} 15.66854
{txt}{space 25} {c |}
{space 10}q_log_inflation {c |}
{space 22}--. {c |}{col 27}{res}{space 2}-1.586079{col 39}{space 2} 1.341975{col 50}{space 1}   -1.18{col 59}{space 3}0.237{col 67}{space 4}-4.216301{col 80}{space 3} 1.044144
{txt}{space 22}L1. {c |}{col 27}{res}{space 2} .7753593{col 39}{space 2} 1.293443{col 50}{space 1}    0.60{col 59}{space 3}0.549{col 67}{space 4}-1.759742{col 80}{space 3} 3.310461
{txt}{space 25} {c |}
{space 12}leader_change {c |}
{space 22}--. {c |}{col 27}{res}{space 2} 6.049773{col 39}{space 2} .7734133{col 50}{space 1}    7.82{col 59}{space 3}0.000{col 67}{space 4} 4.533911{col 80}{space 3} 7.565635
{txt}{space 22}L1. {c |}{col 27}{res}{space 2} 5.036244{col 39}{space 2} .7356816{col 50}{space 1}    6.85{col 59}{space 3}0.000{col 67}{space 4} 3.594335{col 80}{space 3} 6.478153
{txt}{space 22}L2. {c |}{col 27}{res}{space 2} 2.078373{col 39}{space 2} .5766095{col 50}{space 1}    3.60{col 59}{space 3}0.000{col 67}{space 4} .9482391{col 80}{space 3} 3.208507
{txt}{space 22}F1. {c |}{col 27}{res}{space 2} 1.408937{col 39}{space 2} .7198579{col 50}{space 1}    1.96{col 59}{space 3}0.050{col 67}{space 4}-.0019589{col 80}{space 3} 2.819832
{txt}{space 22}F2. {c |}{col 27}{res}{space 2} .0142712{col 39}{space 2} .5619335{col 50}{space 1}    0.03{col 59}{space 3}0.980{col 67}{space 4}-1.087098{col 80}{space 3} 1.115641
{txt}{space 25} {c |}
{space 20}_cons {c |}{col 27}{res}{space 2} 59.26782{col 39}{space 2} 12.33113{col 50}{space 1}    4.81{col 59}{space 3}0.000{col 67}{space 4} 35.09926{col 80}{space 3} 83.43639
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.   outreg2 using "table1 m2"
{browse `"/Users/gregorylove/Dropbox/PSRM revisions"' :dir} : {txt}{stata `"seeout using "table1 m2.txt""':seeout}

{com}.   
.    **get number of admins in sample**
.          tab leader_change if e(sample)

{txt}Inauguratio {c |}
    n Dummy {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      1,124       94.06       94.06
{txt}          1 {c |}{res}         71        5.94      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,195      100.00
{txt}
{com}. 
.  **Modle IV** 
.  xtgls approval  l(1).c.q_grow_pc##c.q_gini_net l(0).q_log l(0/2).leader_change  f(1).leader_change if  rightpres==1 , cor(psar1) force    panels(heteroskedastic) rho(freg)

{txt}Cross-sectional time-series FGLS regression

Coefficients:  {res}generalized least squares
{txt}Panels:        {res}heteroskedastic
{txt}Correlation:   {res}panel-specific AR(1)

{txt}Estimated covariances{col 28}= {res}       18{txt}{col 49}Number of obs{col 67}= {res}     1,200
{txt}Estimated autocorrelations{col 28}= {res}       18{txt}{col 49}Number of groups{col 67}= {res}        18
{txt}Estimated coefficients{col 28}= {res}        9{txt}{col 49}Obs per group:
{col 63}min{col 67}= {res}        28
{txt}{col 63}avg{col 67}=  {res} 66.66667
{txt}{col 63}max{col 67}= {res}       141
{txt}{col 49}Wald chi2({res}8{txt}){col 67}=  {res}   100.22
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                 approval{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      z{col 59}   P>|z|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}q_grow_pc {c |}
{space 22}L1. {c |}{col 27}{res}{space 2}-2.812869{col 39}{space 2} 1.256657{col 50}{space 1}   -2.24{col 59}{space 3}0.025{col 67}{space 4} -5.27587{col 80}{space 3}-.3498671
{txt}{space 25} {c |}
{space 15}q_gini_net {c |}{col 27}{res}{space 2}-28.72424{col 39}{space 2} 27.94533{col 50}{space 1}   -1.03{col 59}{space 3}0.304{col 67}{space 4}-83.49608{col 80}{space 3} 26.04759
{txt}{space 25} {c |}
cL.q_grow_pc#c.q_gini_net {c |}{col 27}{res}{space 2} 6.467517{col 39}{space 2} 2.745587{col 50}{space 1}    2.36{col 59}{space 3}0.018{col 67}{space 4} 1.086265{col 80}{space 3} 11.84877
{txt}{space 25} {c |}
{space 10}q_log_inflation {c |}{col 27}{res}{space 2}-.9094353{col 39}{space 2} .4942257{col 50}{space 1}   -1.84{col 59}{space 3}0.066{col 67}{space 4}  -1.8781{col 80}{space 3} .0592293
{txt}{space 25} {c |}
{space 12}leader_change {c |}
{space 22}--. {c |}{col 27}{res}{space 2} 6.095107{col 39}{space 2} .7047046{col 50}{space 1}    8.65{col 59}{space 3}0.000{col 67}{space 4} 4.713911{col 80}{space 3} 7.476302
{txt}{space 22}L1. {c |}{col 27}{res}{space 2}  5.02708{col 39}{space 2} .7036363{col 50}{space 1}    7.14{col 59}{space 3}0.000{col 67}{space 4} 3.647978{col 80}{space 3} 6.406181
{txt}{space 22}L2. {c |}{col 27}{res}{space 2} 2.051317{col 39}{space 2} .5664731{col 50}{space 1}    3.62{col 59}{space 3}0.000{col 67}{space 4} .9410499{col 80}{space 3} 3.161583
{txt}{space 22}F1. {c |}{col 27}{res}{space 2} 1.445675{col 39}{space 2} .5516637{col 50}{space 1}    2.62{col 59}{space 3}0.009{col 67}{space 4} .3644345{col 80}{space 3} 2.526916
{txt}{space 25} {c |}
{space 20}_cons {c |}{col 27}{res}{space 2} 57.96355{col 39}{space 2}  13.0866{col 50}{space 1}    4.43{col 59}{space 3}0.000{col 67}{space 4} 32.31428{col 80}{space 3} 83.61282
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.   outreg2 using "table1 m4", excel
{txt}{browse `"table1 m4.xml"'}
{browse `"/Users/gregorylove/Dropbox/PSRM revisions"' :dir}{com} : {txt}{stata `"seeout using "table1 m4.txt""':seeout}

{com}.   
.    **get number of admins in sample**
.          tab leader_change if e(sample)

{txt}Inauguratio {c |}
    n Dummy {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      1,129       94.08       94.08
{txt}          1 {c |}{res}         71        5.92      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,200      100.00
{txt}
{com}. 
. drop where
{txt}
{com}. gen where=-3
{txt}
{com}.   quietly: margins , dydx(l.q_grow_pc) at( q_gini_net=(.36(.001).54) ) level(95)
{txt}
{com}.          
. 
. marginsplot, recast(line) recastci(rline)  yline(0) scheme(sj)  xtitle(Inequality) xtitle(, size(medsmall))    graphregion(fcolor(white) lcolor(white)) title("Rightist Presidents", size(medium)) xsize(5.84) ysize(4.25)  addplot(scatter where q_gini_net if e(sample), plotr(m(b 4)) ms(none) mlabcolor(gs5) mlabel(pipe) mlabpos(6) legend(off) xlabel(.36(.06).54) below ) 
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: q_gini_net{p_end}
{res}{txt}
{com}. graph save Graph "right_growth", replace
{res}{txt}(file right_growth.gph saved)

{com}. 
. 
. drop where
{txt}
{com}. gen where=-400
{txt}
{com}.  quietly: margins , dydx(q_gini_net) at( l.q_grow_pc=(-14(1)13) ) level(95)
{txt}
{com}. marginsplot, recast(line) recastci(rline)  yline(0) scheme(sj)  xtitle(Growth) xtitle(, size(medsmall))  graphregion(fcolor(white) lcolor(white)) title("Conditional Effect of Inequality on Approval for Rightist Presidents, 95% c.i.", size(medium)) xsize(5.84) ysize(4.25) addplot(scatter where q_grow_pc if e(sample), plotr(m(b 4)) ms(none) mlabcolor(gs5) mlabel(pipe) mlabpos(6) legend(off) xlabel(-14(5)13)below ) 
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: L.q_grow_pc{p_end}
{res}{txt}
{com}. graph save Graph "right_inequality", replace
{res}{txt}(file right_inequality.gph saved)

{com}.  
.  ***Figure 3***
.  graph combine "left_growth.gph" "right_growth.gph" , title("Figure 3. Conditional Effect of Growth on Approval, 95% c.i.", size(medium)) scheme(sj) graphregion(fcolor(white) lcolor(white) ifcolor(white) ilcolor(white))
{res}{txt}
{com}.  graph save Graph "figure 3", replace
{res}{txt}(file figure 3.gph saved)

{com}.  
.  
.  ***table 2***
.  xtgls approval  l(0/1).c.q_grow_pc c.q_gini_net l(0/1).q_log l(0/2).leader_change    f(1/2).leader_change  if rightpres~=. , cor(psar1) force    panels(heteroskedastic) rho(freg)

{txt}Cross-sectional time-series FGLS regression

Coefficients:  {res}generalized least squares
{txt}Panels:        {res}heteroskedastic
{txt}Correlation:   {res}panel-specific AR(1)

{txt}Estimated covariances{col 28}= {res}       18{txt}{col 49}Number of obs{col 67}= {res}     1,697
{txt}Estimated autocorrelations{col 28}= {res}       18{txt}{col 49}Number of groups{col 67}= {res}        18
{txt}Estimated coefficients{col 28}= {res}       11{txt}{col 49}Obs per group:
{col 63}min{col 67}= {res}        46
{txt}{col 63}avg{col 67}=  {res} 94.27778
{txt}{col 63}max{col 67}= {res}       141
{txt}{col 49}Wald chi2({res}10{txt}){col 67}=  {res}   167.16
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       approval{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}q_grow_pc {c |}
{space 12}--. {c |}{col 17}{res}{space 2} .2674146{col 29}{space 2}   .15777{col 40}{space 1}    1.69{col 49}{space 3}0.090{col 57}{space 4}-.0418089{col 70}{space 3} .5766381
{txt}{space 12}L1. {c |}{col 17}{res}{space 2} .0481606{col 29}{space 2} .1575724{col 40}{space 1}    0.31{col 49}{space 3}0.760{col 57}{space 4}-.2606757{col 70}{space 3} .3569969
{txt}{space 15} {c |}
{space 5}q_gini_net {c |}{col 17}{res}{space 2}-46.86725{col 29}{space 2} 25.60861{col 40}{space 1}   -1.83{col 49}{space 3}0.067{col 57}{space 4}-97.05921{col 70}{space 3} 3.324705
{txt}{space 15} {c |}
q_log_inflation {c |}
{space 12}--. {c |}{col 17}{res}{space 2}-2.292128{col 29}{space 2} 1.000585{col 40}{space 1}   -2.29{col 49}{space 3}0.022{col 57}{space 4}-4.253238{col 70}{space 3}-.3310181
{txt}{space 12}L1. {c |}{col 17}{res}{space 2} .4887489{col 29}{space 2} 1.002935{col 40}{space 1}    0.49{col 49}{space 3}0.626{col 57}{space 4}-1.476967{col 70}{space 3} 2.454465
{txt}{space 15} {c |}
{space 2}leader_change {c |}
{space 12}--. {c |}{col 17}{res}{space 2} 5.801001{col 29}{space 2} .6456247{col 40}{space 1}    8.99{col 49}{space 3}0.000{col 57}{space 4}   4.5356{col 70}{space 3} 7.066402
{txt}{space 12}L1. {c |}{col 17}{res}{space 2} 5.072452{col 29}{space 2} .6069232{col 40}{space 1}    8.36{col 49}{space 3}0.000{col 57}{space 4} 3.882904{col 70}{space 3}    6.262
{txt}{space 12}L2. {c |}{col 17}{res}{space 2} 1.899672{col 29}{space 2} .4722308{col 40}{space 1}    4.02{col 49}{space 3}0.000{col 57}{space 4} .9741165{col 70}{space 3} 2.825227
{txt}{space 12}F1. {c |}{col 17}{res}{space 2} .8875503{col 29}{space 2} .6128079{col 40}{space 1}    1.45{col 49}{space 3}0.148{col 57}{space 4}-.3135312{col 70}{space 3} 2.088632
{txt}{space 12}F2. {c |}{col 17}{res}{space 2}-.1222433{col 29}{space 2} .4811433{col 40}{space 1}   -0.25{col 49}{space 3}0.799{col 57}{space 4}-1.065267{col 70}{space 3} .8207803
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}  69.8576{col 29}{space 2} 11.90453{col 40}{space 1}    5.87{col 49}{space 3}0.000{col 57}{space 4} 46.52515{col 70}{space 3} 93.19006
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.      outreg2 using "table 2 m1", replace dec(3)
{browse `"/Users/gregorylove/Dropbox/PSRM revisions"' :dir} : {txt}{stata `"seeout using "table 2 m1.txt""':seeout}

{com}.          
.          **get number of admins in sample**
.          tab leader_change if e(sample)

{txt}Inauguratio {c |}
    n Dummy {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      1,589       93.64       93.64
{txt}          1 {c |}{res}        108        6.36      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,697      100.00
{txt}
{com}. 
.  xtgls approval  l(0/1).c.q_grow_pc c.q_gini_net l(0/1).q_log l(0/2).leader_change    f(1/2).leader_change  if rightpres==0 , cor(psar1) force    panels(heteroskedastic) rho(freg)
{txt}(note: {res}1{txt} observations dropped because only 1 obs in group)

Cross-sectional time-series FGLS regression

Coefficients:  {res}generalized least squares
{txt}Panels:        {res}heteroskedastic
{txt}Correlation:   {res}panel-specific AR(1)

{txt}Estimated covariances{col 28}= {res}       13{txt}{col 49}Number of obs{col 67}= {res}       501
{txt}Estimated autocorrelations{col 28}= {res}       13{txt}{col 49}Number of groups{col 67}= {res}        13
{txt}Estimated coefficients{col 28}= {res}       11{txt}{col 49}Obs per group:
{col 63}min{col 67}= {res}        15
{txt}{col 63}avg{col 67}=  {res} 38.53846
{txt}{col 63}max{col 67}= {res}        69
{txt}{col 49}Wald chi2({res}10{txt}){col 67}=  {res}   103.89
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       approval{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}q_grow_pc {c |}
{space 12}--. {c |}{col 17}{res}{space 2} .6083642{col 29}{space 2} .2343038{col 40}{space 1}    2.60{col 49}{space 3}0.009{col 57}{space 4} .1491372{col 70}{space 3} 1.067591
{txt}{space 12}L1. {c |}{col 17}{res}{space 2}-.2952547{col 29}{space 2}  .235959{col 40}{space 1}   -1.25{col 49}{space 3}0.211{col 57}{space 4} -.757726{col 70}{space 3} .1672165
{txt}{space 15} {c |}
{space 5}q_gini_net {c |}{col 17}{res}{space 2}-18.45989{col 29}{space 2} 28.91083{col 40}{space 1}   -0.64{col 49}{space 3}0.523{col 57}{space 4}-75.12407{col 70}{space 3} 38.20429
{txt}{space 15} {c |}
q_log_inflation {c |}
{space 12}--. {c |}{col 17}{res}{space 2}-8.111422{col 29}{space 2} 1.467578{col 40}{space 1}   -5.53{col 49}{space 3}0.000{col 57}{space 4}-10.98782{col 70}{space 3}-5.235023
{txt}{space 12}L1. {c |}{col 17}{res}{space 2} 2.210678{col 29}{space 2}  1.68164{col 40}{space 1}    1.31{col 49}{space 3}0.189{col 57}{space 4}-1.085275{col 70}{space 3} 5.506632
{txt}{space 15} {c |}
{space 2}leader_change {c |}
{space 12}--. {c |}{col 17}{res}{space 2} 4.102431{col 29}{space 2} .9984342{col 40}{space 1}    4.11{col 49}{space 3}0.000{col 57}{space 4} 2.145536{col 70}{space 3} 6.059326
{txt}{space 12}L1. {c |}{col 17}{res}{space 2} 4.418039{col 29}{space 2} .9279505{col 40}{space 1}    4.76{col 49}{space 3}0.000{col 57}{space 4} 2.599289{col 70}{space 3} 6.236789
{txt}{space 12}L2. {c |}{col 17}{res}{space 2} 1.341347{col 29}{space 2}  .733874{col 40}{space 1}    1.83{col 49}{space 3}0.068{col 57}{space 4}-.0970196{col 70}{space 3} 2.779714
{txt}{space 12}F1. {c |}{col 17}{res}{space 2} 1.433712{col 29}{space 2} .9883904{col 40}{space 1}    1.45{col 49}{space 3}0.147{col 57}{space 4}-.5034971{col 70}{space 3} 3.370922
{txt}{space 12}F2. {c |}{col 17}{res}{space 2} .1126305{col 29}{space 2}  .803645{col 40}{space 1}    0.14{col 49}{space 3}0.889{col 57}{space 4}-1.462485{col 70}{space 3} 1.687746
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} 70.84165{col 29}{space 2} 13.35828{col 40}{space 1}    5.30{col 49}{space 3}0.000{col 57}{space 4}  44.6599{col 70}{space 3}  97.0234
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.      outreg2 using "table 2 m2", replace dec(3)
{browse `"/Users/gregorylove/Dropbox/PSRM revisions"' :dir} : {txt}{stata `"seeout using "table 2 m2.txt""':seeout}

{com}. 
.           **get number of admins in sample**
.          tab leader_change if e(sample)

{txt}Inauguratio {c |}
    n Dummy {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        465       92.63       92.63
{txt}          1 {c |}{res}         37        7.37      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        502      100.00
{txt}
{com}.   
.  xtgls approval  l(0/1).c.q_grow_pc c.q_gini_net l(0/1).q_log l(0/2).leader_change    f(1/2).leader_change  if rightpres==1 , cor(psar1) force    panels(heteroskedastic) rho(freg)

{txt}Cross-sectional time-series FGLS regression

Coefficients:  {res}generalized least squares
{txt}Panels:        {res}heteroskedastic
{txt}Correlation:   {res}panel-specific AR(1)

{txt}Estimated covariances{col 28}= {res}       18{txt}{col 49}Number of obs{col 67}= {res}     1,195
{txt}Estimated autocorrelations{col 28}= {res}       18{txt}{col 49}Number of groups{col 67}= {res}        18
{txt}Estimated coefficients{col 28}= {res}       11{txt}{col 49}Obs per group:
{col 63}min{col 67}= {res}        28
{txt}{col 63}avg{col 67}=  {res} 66.38889
{txt}{col 63}max{col 67}= {res}       141
{txt}{col 49}Wald chi2({res}10{txt}){col 67}=  {res}    94.84
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       approval{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}q_grow_pc {c |}
{space 12}--. {c |}{col 17}{res}{space 2} .0122927{col 29}{space 2}  .198554{col 40}{space 1}    0.06{col 49}{space 3}0.951{col 57}{space 4} -.376866{col 70}{space 3} .4014513
{txt}{space 12}L1. {c |}{col 17}{res}{space 2} .1251492{col 29}{space 2} .1920302{col 40}{space 1}    0.65{col 49}{space 3}0.515{col 57}{space 4}-.2512231{col 70}{space 3} .5015215
{txt}{space 15} {c |}
{space 5}q_gini_net {c |}{col 17}{res}{space 2}-18.47535{col 29}{space 2} 26.86439{col 40}{space 1}   -0.69{col 49}{space 3}0.492{col 57}{space 4}-71.12858{col 70}{space 3} 34.17789
{txt}{space 15} {c |}
q_log_inflation {c |}
{space 12}--. {c |}{col 17}{res}{space 2}-1.709523{col 29}{space 2} 1.346282{col 40}{space 1}   -1.27{col 49}{space 3}0.204{col 57}{space 4}-4.348187{col 70}{space 3} .9291414
{txt}{space 12}L1. {c |}{col 17}{res}{space 2} .7746745{col 29}{space 2} 1.294315{col 40}{space 1}    0.60{col 49}{space 3}0.549{col 57}{space 4}-1.762136{col 70}{space 3} 3.311485
{txt}{space 15} {c |}
{space 2}leader_change {c |}
{space 12}--. {c |}{col 17}{res}{space 2} 6.013467{col 29}{space 2} .7723989{col 40}{space 1}    7.79{col 49}{space 3}0.000{col 57}{space 4} 4.499593{col 70}{space 3} 7.527341
{txt}{space 12}L1. {c |}{col 17}{res}{space 2} 5.027522{col 29}{space 2} .7348459{col 40}{space 1}    6.84{col 49}{space 3}0.000{col 57}{space 4} 3.587251{col 70}{space 3} 6.467794
{txt}{space 12}L2. {c |}{col 17}{res}{space 2} 2.050212{col 29}{space 2} .5760149{col 40}{space 1}    3.56{col 49}{space 3}0.000{col 57}{space 4} .9212439{col 70}{space 3} 3.179181
{txt}{space 12}F1. {c |}{col 17}{res}{space 2} 1.419753{col 29}{space 2} .7187984{col 40}{space 1}    1.98{col 49}{space 3}0.048{col 57}{space 4} .0109342{col 70}{space 3} 2.828572
{txt}{space 12}F2. {c |}{col 17}{res}{space 2} .0351541{col 29}{space 2} .5608837{col 40}{space 1}    0.06{col 49}{space 3}0.950{col 57}{space 4}-1.064158{col 70}{space 3} 1.134466
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} 53.84389{col 29}{space 2} 12.57231{col 40}{space 1}    4.28{col 49}{space 3}0.000{col 57}{space 4} 29.20261{col 70}{space 3} 78.48517
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.      outreg2 using "table 2 m3", replace dec(3)
{browse `"/Users/gregorylove/Dropbox/PSRM revisions"' :dir} : {txt}{stata `"seeout using "table 2 m3.txt""':seeout}

{com}.          
.           **get number of admins in sample**
.          tab leader_change if e(sample)

{txt}Inauguratio {c |}
    n Dummy {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      1,124       94.06       94.06
{txt}          1 {c |}{res}         71        5.94      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,195      100.00
{txt}
{com}. 
. 
.  *****appendix*****
.  
. **Descriptive Stats**
. **Table A1***
.   reg approval q_grow_pc c.q_gini_net q_log    

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,877
{txt}{hline 13}{c +}{hline 34}   F(3, 1873)      = {res}    50.43
{txt}       Model {c |} {res} 31911.0504         3  10637.0168   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 395060.787     1,873  210.924072   {txt}R-squared       ={res}    0.0747
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0733
{txt}       Total {c |} {res} 426971.837     1,876  227.596928   {txt}Root MSE        =   {res} 14.523

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       approval{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}q_grow_pc {c |}{col 17}{res}{space 2} .7697264{col 29}{space 2} .1054503{col 40}{space 1}    7.30{col 49}{space 3}0.000{col 57}{space 4} .5629141{col 70}{space 3} .9765388
{txt}{space 5}q_gini_net {c |}{col 17}{res}{space 2}-48.36755{col 29}{space 2} 7.997132{col 40}{space 1}   -6.05{col 49}{space 3}0.000{col 57}{space 4}-64.05178{col 70}{space 3}-32.68332
{txt}q_log_inflation {c |}{col 17}{res}{space 2}-1.081683{col 29}{space 2} .2375406{col 40}{space 1}   -4.55{col 49}{space 3}0.000{col 57}{space 4}-1.547555{col 70}{space 3}-.6158109
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} 70.18936{col 29}{space 2}  3.81408{col 40}{space 1}   18.40{col 49}{space 3}0.000{col 57}{space 4} 62.70907{col 70}{space 3} 77.66965
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. sum approval  q_grow_pc c.q_gini_net rightpres q_log leader_change  if e(sample)

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}approval {c |}{res}      1,877    46.69547    15.08632      6.638     91.239
{txt}{space 3}q_grow_pc {c |}{res}      1,877    1.948875    3.345175  -14.19542   16.22569
{txt}{space 2}q_gini_net {c |}{res}      1,877    .4651912    .0421574   .3591173   .5422437
{txt}{space 3}rightpres {c |}{res}      1,732     .704388    .4564492          0          1
{txt}q_log_infl~n {c |}{res}      1,877    2.305508    1.477398  -2.634406   8.920211
{txt}{hline 13}{c +}{hline 57}
leader_cha~e {c |}{res}      1,867    .0653455    .2472007          0          1
{txt}
{com}. 
. **Table A2***
. by country_code: summarize qtr if e(sample), format

{txt}{hline}
-> country_code = Argentina

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}qtr {c |}{res}        121   1998q4    35.07373  1983q4  2013q4

{txt}{hline}
-> country_code = Bolivia

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}qtr {c |}{res}         71   2007q2    20.63977  1998q3  2016q1

{txt}{hline}
-> country_code = Brazil

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}qtr {c |}{res}        134   1998q2    38.82654  1981q4  2015q1

{txt}{hline}
-> country_code = Chile

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}qtr {c |}{res}        100   2002q3    29.01149  1990q2  2015q1

{txt}{hline}
-> country_code = Colombia

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}qtr {c |}{res}         89   2005q1    25.83602  1994q1  2016q1

{txt}{hline}
-> country_code = Costa Rica

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}qtr {c |}{res}        150   1997q1    43.44537  1978q3  2015q4

{txt}{hline}
-> country_code = Dominican Republic

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}qtr {c |}{res}         50   2009q4    14.57738  2003q4  2016q1

{txt}{hline}
-> country_code = Ecuador

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}qtr {c |}{res}        117   2001q3    33.91902  1987q1  2016q1

{txt}{hline}
-> country_code = El Salvador

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}qtr {c |}{res}        101   2003q3    29.30017  1991q1  2016q1

{txt}{hline}
-> country_code = Guatemala

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}qtr {c |}{res}        106   2000q4    30.74356  1987q4  2014q1

{txt}{hline}
-> country_code = Honduras

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}qtr {c |}{res}        113   2002q1    32.76431  1988q1  2016q1

{txt}{hline}
-> country_code = Mexico

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}qtr {c |}{res}        109   2002q3     31.6096  1989q1  2016q1

{txt}{hline}
-> country_code = Nicaragua

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}qtr {c |}{res}         85   2003q3     24.6813  1993q1  2014q1

{txt}{hline}
-> country_code = Panama

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}qtr {c |}{res}         87   2005q2    25.25866  1994q3  2016q1

{txt}{hline}
-> country_code = Paraguay

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}qtr {c |}{res}         76   2006q1    22.08318  1996q4  2015q3

{txt}{hline}
-> country_code = Peru

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}qtr {c |}{res}        141   1998q3    40.84728  1981q1  2016q1

{txt}{hline}
-> country_code = Uruguay

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}qtr {c |}{res}        119   2001q2    34.49638  1986q3  2016q1

{txt}{hline}
-> country_code = Venezuela

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}qtr {c |}{res}        108   2000q2    31.32092  1987q1  2013q4

{txt}
{com}. 
.  
.  **Table A3**
.  **DR excluded from left analyses because of only 1 case**
.  **DR included in main analyses, above, but as this shows, the exclusion does not change results substantively**
.  
.  
.  xtpcse approval l(1).c.q_grow_pc##c.q_gini_net l(0/1).q_log l(0/2).leader_change f(1/2).leader_change if  rightpres==0 & DR_code==.  ,  cor(psar1) het   

{txt}Number of gaps in sample:  {res}5
{txt}(note: computations for rho restarted at each gap)
(note: estimates of rho outside [-1,1] bounded to be in the range [-1,1])
{res}
{txt}Prais-Winsten regression, heteroskedastic panels corrected standard errors

Group variable:{col 19}{res}country_code{col 49}{txt}Number of obs{col 67}= {res}       502
{txt}Time variable:{col 19}{res}qtr{col 49}{txt}Number of groups{col 67}= {res}        13
{txt}Panels:{col 19}{res}heteroskedastic (unbalanced){col 49}{txt}Obs per group:
Autocorrelation:{col 19}{res}panel-specific AR(1){col 63}{txt}min{col 67}= {res}        15
{txt}{col 63}avg{col 67}= {res} 38.615385
{txt}{col 63}max{col 67}= {res}        69
{txt}Estimated covariances{col 28}= {res}       13{col 49}{txt}R-squared{col 67}= {res}    0.6802
{txt}Estimated autocorrelations{col 28}= {res}       13{col 49}{txt}Wald chi2({res}10{txt}){col 67}= {res}     56.60
{txt}Estimated coefficients{col 28}= {res}       11{col 49}{txt}Prob > chi2{col 67}= {res}    0.0000

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39} Het-corrected
{col 1}                 approval{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      z{col 59}   P>|z|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}q_grow_pc {c |}
{space 22}L1. {c |}{col 27}{res}{space 2} 4.784643{col 39}{space 2} 2.386263{col 50}{space 1}    2.01{col 59}{space 3}0.045{col 67}{space 4} .1076533{col 80}{space 3} 9.461633
{txt}{space 25} {c |}
{space 15}q_gini_net {c |}{col 27}{res}{space 2} 16.67572{col 39}{space 2} 30.77527{col 50}{space 1}    0.54{col 59}{space 3}0.588{col 67}{space 4} -43.6427{col 80}{space 3} 76.99414
{txt}{space 25} {c |}
cL.q_grow_pc#c.q_gini_net {c |}{col 27}{res}{space 2}-10.02957{col 39}{space 2} 5.566767{col 50}{space 1}   -1.80{col 59}{space 3}0.072{col 67}{space 4}-20.94023{col 80}{space 3}  .881096
{txt}{space 25} {c |}
{space 10}q_log_inflation {c |}
{space 22}--. {c |}{col 27}{res}{space 2}-3.751916{col 39}{space 2} 1.713565{col 50}{space 1}   -2.19{col 59}{space 3}0.029{col 67}{space 4}-7.110442{col 80}{space 3}-.3933897
{txt}{space 22}L1. {c |}{col 27}{res}{space 2}-.1602278{col 39}{space 2} 1.819633{col 50}{space 1}   -0.09{col 59}{space 3}0.930{col 67}{space 4}-3.726642{col 80}{space 3} 3.406187
{txt}{space 25} {c |}
{space 12}leader_change {c |}
{space 22}--. {c |}{col 27}{res}{space 2} 2.721836{col 39}{space 2}  1.04996{col 50}{space 1}    2.59{col 59}{space 3}0.010{col 67}{space 4} .6639508{col 80}{space 3}  4.77972
{txt}{space 22}L1. {c |}{col 27}{res}{space 2} 3.497815{col 39}{space 2} .9644335{col 50}{space 1}    3.63{col 59}{space 3}0.000{col 67}{space 4}  1.60756{col 80}{space 3}  5.38807
{txt}{space 22}L2. {c |}{col 27}{res}{space 2} .8524451{col 39}{space 2}  .750311{col 50}{space 1}    1.14{col 59}{space 3}0.256{col 67}{space 4}-.6181374{col 80}{space 3} 2.323028
{txt}{space 22}F1. {c |}{col 27}{res}{space 2} 2.020278{col 39}{space 2} 1.031225{col 50}{space 1}    1.96{col 59}{space 3}0.050{col 67}{space 4} -.000885{col 80}{space 3} 4.041442
{txt}{space 22}F2. {c |}{col 27}{res}{space 2}  .487534{col 39}{space 2}   .83352{col 50}{space 1}    0.58{col 59}{space 3}0.559{col 67}{space 4}-1.146135{col 80}{space 3} 2.121203
{txt}{space 25} {c |}
{space 20}_cons {c |}{col 27}{res}{space 2} 50.04865{col 39}{space 2} 14.21289{col 50}{space 1}    3.52{col 59}{space 3}0.000{col 67}{space 4} 22.19189{col 80}{space 3} 77.90541
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                     rhos = {res}  .894737{txt} {res} .9303971{txt} {res} .9090009{txt} {res} .8392876{txt} {res} .8216721{txt} ... {res} .9541308
{txt}{hline 91}

{com}.   outreg2 using "Table A3",  dec(3) replace
{browse `"/Users/gregorylove/Dropbox/PSRM revisions"' :dir} : {txt}{stata `"seeout using "Table A3.txt""':seeout}

{com}. 
.  xtpcse approval l(1).c.q_grow_pc##c.q_gini_net l(0/1).q_log l(0/2).leader_change f(1/2).leader_change if  rightpres==1   ,  cor(psar1) het   

{txt}Number of gaps in sample:  {res}5
{txt}(note: computations for rho restarted at each gap)
{res}
{txt}Prais-Winsten regression, heteroskedastic panels corrected standard errors

Group variable:{col 19}{res}country_code{col 49}{txt}Number of obs{col 67}= {res}     1,195
{txt}Time variable:{col 19}{res}qtr{col 49}{txt}Number of groups{col 67}= {res}        18
{txt}Panels:{col 19}{res}heteroskedastic (unbalanced){col 49}{txt}Obs per group:
Autocorrelation:{col 19}{res}panel-specific AR(1){col 63}{txt}min{col 67}= {res}        28
{txt}{col 63}avg{col 67}= {res} 66.388889
{txt}{col 63}max{col 67}= {res}       141
{txt}Estimated covariances{col 28}= {res}       18{col 49}{txt}R-squared{col 67}= {res}    0.4109
{txt}Estimated autocorrelations{col 28}= {res}       18{col 49}{txt}Wald chi2({res}10{txt}){col 67}= {res}     61.78
{txt}Estimated coefficients{col 28}= {res}       11{col 49}{txt}Prob > chi2{col 67}= {res}    0.0000

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39} Het-corrected
{col 1}                 approval{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      z{col 59}   P>|z|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}q_grow_pc {c |}
{space 22}L1. {c |}{col 27}{res}{space 2}-4.047736{col 39}{space 2} 1.404927{col 50}{space 1}   -2.88{col 59}{space 3}0.004{col 67}{space 4}-6.801341{col 80}{space 3} -1.29413
{txt}{space 25} {c |}
{space 15}q_gini_net {c |}{col 27}{res}{space 2}-45.76674{col 39}{space 2} 29.60382{col 50}{space 1}   -1.55{col 59}{space 3}0.122{col 67}{space 4}-103.7892{col 80}{space 3} 12.25568
{txt}{space 25} {c |}
cL.q_grow_pc#c.q_gini_net {c |}{col 27}{res}{space 2} 9.151507{col 39}{space 2} 3.059164{col 50}{space 1}    2.99{col 59}{space 3}0.003{col 67}{space 4} 3.155656{col 80}{space 3} 15.14736
{txt}{space 25} {c |}
{space 10}q_log_inflation {c |}
{space 22}--. {c |}{col 27}{res}{space 2}-.0879456{col 39}{space 2} 1.474796{col 50}{space 1}   -0.06{col 59}{space 3}0.952{col 67}{space 4}-2.978492{col 80}{space 3}   2.8026
{txt}{space 22}L1. {c |}{col 27}{res}{space 2}  -.04587{col 39}{space 2} 1.477006{col 50}{space 1}   -0.03{col 59}{space 3}0.975{col 67}{space 4}-2.940748{col 80}{space 3} 2.849008
{txt}{space 25} {c |}
{space 12}leader_change {c |}
{space 22}--. {c |}{col 27}{res}{space 2} 5.335333{col 39}{space 2} .8995264{col 50}{space 1}    5.93{col 59}{space 3}0.000{col 67}{space 4} 3.572294{col 80}{space 3} 7.098373
{txt}{space 22}L1. {c |}{col 27}{res}{space 2} 4.825639{col 39}{space 2} .8551328{col 50}{space 1}    5.64{col 59}{space 3}0.000{col 67}{space 4}  3.14961{col 80}{space 3} 6.501668
{txt}{space 22}L2. {c |}{col 27}{res}{space 2} 2.060229{col 39}{space 2} .6675425{col 50}{space 1}    3.09{col 59}{space 3}0.002{col 67}{space 4}   .75187{col 80}{space 3} 3.368589
{txt}{space 22}F1. {c |}{col 27}{res}{space 2} 1.166638{col 39}{space 2} .8365269{col 50}{space 1}    1.39{col 59}{space 3}0.163{col 67}{space 4}-.4729247{col 80}{space 3}   2.8062
{txt}{space 22}F2. {c |}{col 27}{res}{space 2} .2789073{col 39}{space 2} .6542655{col 50}{space 1}    0.43{col 59}{space 3}0.670{col 67}{space 4}-1.003429{col 80}{space 3} 1.561244
{txt}{space 25} {c |}
{space 20}_cons {c |}{col 27}{res}{space 2} 65.31566{col 39}{space 2} 14.02571{col 50}{space 1}    4.66{col 59}{space 3}0.000{col 67}{space 4} 37.82577{col 80}{space 3} 92.80555
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                     rhos = {res}  .829084{txt} {res}  .868192{txt} {res} .7244879{txt} {res} .8240903{txt} {res} .9633981{txt} ... {res} .8653192
{txt}{hline 91}

{com}.   outreg2 using "Table A3", dec(3)  append
{browse `"/Users/gregorylove/Dropbox/PSRM revisions"' :dir} : {txt}{stata `"seeout using "Table A3.txt""':seeout}

{com}. 
. 
.  xtgls approval  l(1).c.q_grow_pc##c.q_gini_net l(0/1).q_log l(0/2).leader_change f(1/2).leader_change if  rightpres==0 & country~="Peru" & DR_code==.   , cor(psar1) force    panels(heteroskedastic) rho(freg)

{txt}Cross-sectional time-series FGLS regression

Coefficients:  {res}generalized least squares
{txt}Panels:        {res}heteroskedastic
{txt}Correlation:   {res}panel-specific AR(1)

{txt}Estimated covariances{col 28}= {res}       12{txt}{col 49}Number of obs{col 67}= {res}       484
{txt}Estimated autocorrelations{col 28}= {res}       12{txt}{col 49}Number of groups{col 67}= {res}        12
{txt}Estimated coefficients{col 28}= {res}       11{txt}{col 49}Obs per group:
{col 63}min{col 67}= {res}        15
{txt}{col 63}avg{col 67}=  {res} 40.33333
{txt}{col 63}max{col 67}= {res}        69
{txt}{col 49}Wald chi2({res}10{txt}){col 67}=  {res}   114.06
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                 approval{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      z{col 59}   P>|z|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}q_grow_pc {c |}
{space 22}L1. {c |}{col 27}{res}{space 2} 6.241308{col 39}{space 2} 2.309718{col 50}{space 1}    2.70{col 59}{space 3}0.007{col 67}{space 4} 1.714344{col 80}{space 3} 10.76827
{txt}{space 25} {c |}
{space 15}q_gini_net {c |}{col 27}{res}{space 2}   21.158{col 39}{space 2} 31.54753{col 50}{space 1}    0.67{col 59}{space 3}0.502{col 67}{space 4}-40.67403{col 80}{space 3} 82.99003
{txt}{space 25} {c |}
cL.q_grow_pc#c.q_gini_net {c |}{col 27}{res}{space 2}-14.25319{col 39}{space 2} 5.384336{col 50}{space 1}   -2.65{col 59}{space 3}0.008{col 67}{space 4}-24.80629{col 80}{space 3}-3.700087
{txt}{space 25} {c |}
{space 10}q_log_inflation {c |}
{space 22}--. {c |}{col 27}{res}{space 2}-7.363724{col 39}{space 2} 1.440168{col 50}{space 1}   -5.11{col 59}{space 3}0.000{col 67}{space 4} -10.1864{col 80}{space 3}-4.541046
{txt}{space 22}L1. {c |}{col 27}{res}{space 2} 1.502879{col 39}{space 2} 1.646078{col 50}{space 1}    0.91{col 59}{space 3}0.361{col 67}{space 4}-1.723375{col 80}{space 3} 4.729133
{txt}{space 25} {c |}
{space 12}leader_change {c |}
{space 22}--. {c |}{col 27}{res}{space 2} 3.572158{col 39}{space 2} .9910366{col 50}{space 1}    3.60{col 59}{space 3}0.000{col 67}{space 4} 1.629762{col 80}{space 3} 5.514554
{txt}{space 22}L1. {c |}{col 27}{res}{space 2} 4.036133{col 39}{space 2} .9178255{col 50}{space 1}    4.40{col 59}{space 3}0.000{col 67}{space 4} 2.237229{col 80}{space 3} 5.835038
{txt}{space 22}L2. {c |}{col 27}{res}{space 2} 1.164926{col 39}{space 2} .7190437{col 50}{space 1}    1.62{col 59}{space 3}0.105{col 67}{space 4}-.2443736{col 80}{space 3} 2.574226
{txt}{space 22}F1. {c |}{col 27}{res}{space 2} .9398882{col 39}{space 2} .9770009{col 50}{space 1}    0.96{col 59}{space 3}0.336{col 67}{space 4}-.9749984{col 80}{space 3} 2.854775
{txt}{space 22}F2. {c |}{col 27}{res}{space 2}-.0502551{col 39}{space 2} .7923926{col 50}{space 1}   -0.06{col 59}{space 3}0.949{col 67}{space 4}-1.603316{col 80}{space 3} 1.502806
{txt}{space 25} {c |}
{space 20}_cons {c |}{col 27}{res}{space 2} 54.67833{col 39}{space 2} 14.52219{col 50}{space 1}    3.77{col 59}{space 3}0.000{col 67}{space 4} 26.21536{col 80}{space 3} 83.14131
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.   outreg2 using "Table A3", dec(3) append
{browse `"/Users/gregorylove/Dropbox/PSRM revisions"' :dir} : {txt}{stata `"seeout using "Table A3.txt""':seeout}

{com}. 
.  xtgls approval  l(1).c.q_grow_pc##c.q_gini_net l(0/1).q_log l(0/2).leader_change f(1/2).leader_change if  rightpres==1 & country~="Peru"  , cor(psar1) force    panels(heteroskedastic) rho(freg)

{txt}Cross-sectional time-series FGLS regression

Coefficients:  {res}generalized least squares
{txt}Panels:        {res}heteroskedastic
{txt}Correlation:   {res}panel-specific AR(1)

{txt}Estimated covariances{col 28}= {res}       17{txt}{col 49}Number of obs{col 67}= {res}     1,091
{txt}Estimated autocorrelations{col 28}= {res}       17{txt}{col 49}Number of groups{col 67}= {res}        17
{txt}Estimated coefficients{col 28}= {res}       11{txt}{col 49}Obs per group:
{col 63}min{col 67}= {res}        28
{txt}{col 63}avg{col 67}=  {res} 64.17647
{txt}{col 63}max{col 67}= {res}       141
{txt}{col 49}Wald chi2({res}10{txt}){col 67}=  {res}    87.79
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                 approval{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      z{col 59}   P>|z|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}q_grow_pc {c |}
{space 22}L1. {c |}{col 27}{res}{space 2}-2.700881{col 39}{space 2} 1.475608{col 50}{space 1}   -1.83{col 59}{space 3}0.067{col 67}{space 4} -5.59302{col 80}{space 3} .1912585
{txt}{space 25} {c |}
{space 15}q_gini_net {c |}{col 27}{res}{space 2}-5.730574{col 39}{space 2} 25.65515{col 50}{space 1}   -0.22{col 59}{space 3}0.823{col 67}{space 4}-56.01374{col 80}{space 3}  44.5526
{txt}{space 25} {c |}
cL.q_grow_pc#c.q_gini_net {c |}{col 27}{res}{space 2} 6.231121{col 39}{space 2} 3.290742{col 50}{space 1}    1.89{col 59}{space 3}0.058{col 67}{space 4}-.2186148{col 80}{space 3} 12.68086
{txt}{space 25} {c |}
{space 10}q_log_inflation {c |}
{space 22}--. {c |}{col 27}{res}{space 2}-2.553853{col 39}{space 2} 1.428326{col 50}{space 1}   -1.79{col 59}{space 3}0.074{col 67}{space 4} -5.35332{col 80}{space 3} .2456134
{txt}{space 22}L1. {c |}{col 27}{res}{space 2} 1.369416{col 39}{space 2} 1.384666{col 50}{space 1}    0.99{col 59}{space 3}0.323{col 67}{space 4}-1.344478{col 80}{space 3} 4.083311
{txt}{space 25} {c |}
{space 12}leader_change {c |}
{space 22}--. {c |}{col 27}{res}{space 2} 5.735486{col 39}{space 2} .8031884{col 50}{space 1}    7.14{col 59}{space 3}0.000{col 67}{space 4} 4.161266{col 80}{space 3} 7.309706
{txt}{space 22}L1. {c |}{col 27}{res}{space 2} 4.552849{col 39}{space 2} .7609589{col 50}{space 1}    5.98{col 59}{space 3}0.000{col 67}{space 4} 3.061397{col 80}{space 3} 6.044301
{txt}{space 22}L2. {c |}{col 27}{res}{space 2} 1.692336{col 39}{space 2} .5996318{col 50}{space 1}    2.82{col 59}{space 3}0.005{col 67}{space 4} .5170792{col 80}{space 3} 2.867593
{txt}{space 22}F1. {c |}{col 27}{res}{space 2} 1.216936{col 39}{space 2} .7440266{col 50}{space 1}    1.64{col 59}{space 3}0.102{col 67}{space 4}-.2413291{col 80}{space 3} 2.675202
{txt}{space 22}F2. {c |}{col 27}{res}{space 2} .0058389{col 39}{space 2} .5823808{col 50}{space 1}    0.01{col 59}{space 3}0.992{col 67}{space 4}-1.135607{col 80}{space 3} 1.147284
{txt}{space 25} {c |}
{space 20}_cons {c |}{col 27}{res}{space 2}  48.9179{col 39}{space 2} 11.89924{col 50}{space 1}    4.11{col 59}{space 3}0.000{col 67}{space 4} 25.59581{col 80}{space 3} 72.23998
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.   outreg2 using "Table A3", dec(3) append
{browse `"/Users/gregorylove/Dropbox/PSRM revisions"' :dir} : {txt}{stata `"seeout using "Table A3.txt""':seeout}

{com}. 
.  xtgls approval  l(1).c.q_grow_pc##c.q_gini_net l(0/1).q_log l(0/2).leader_change f(1/2).leader_change if  rightpres==0 & country~="Venezuela" & DR_code==.   , cor(psar1) force    panels(heteroskedastic) rho(freg)

{txt}Cross-sectional time-series FGLS regression

Coefficients:  {res}generalized least squares
{txt}Panels:        {res}heteroskedastic
{txt}Correlation:   {res}panel-specific AR(1)

{txt}Estimated covariances{col 28}= {res}       12{txt}{col 49}Number of obs{col 67}= {res}       435
{txt}Estimated autocorrelations{col 28}= {res}       12{txt}{col 49}Number of groups{col 67}= {res}        12
{txt}Estimated coefficients{col 28}= {res}       11{txt}{col 49}Obs per group:
{col 63}min{col 67}= {res}        15
{txt}{col 63}avg{col 67}=  {res}    36.25
{txt}{col 63}max{col 67}= {res}        69
{txt}{col 49}Wald chi2({res}10{txt}){col 67}=  {res}    92.20
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                 approval{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      z{col 59}   P>|z|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}q_grow_pc {c |}
{space 22}L1. {c |}{col 27}{res}{space 2} 11.58244{col 39}{space 2} 3.598676{col 50}{space 1}    3.22{col 59}{space 3}0.001{col 67}{space 4} 4.529169{col 80}{space 3} 18.63572
{txt}{space 25} {c |}
{space 15}q_gini_net {c |}{col 27}{res}{space 2} 28.87387{col 39}{space 2} 41.91748{col 50}{space 1}    0.69{col 59}{space 3}0.491{col 67}{space 4}-53.28289{col 80}{space 3} 111.0306
{txt}{space 25} {c |}
cL.q_grow_pc#c.q_gini_net {c |}{col 27}{res}{space 2}-25.31878{col 39}{space 2} 7.959399{col 50}{space 1}   -3.18{col 59}{space 3}0.001{col 67}{space 4}-40.91891{col 80}{space 3}-9.718639
{txt}{space 25} {c |}
{space 10}q_log_inflation {c |}
{space 22}--. {c |}{col 27}{res}{space 2}-6.479695{col 39}{space 2} 1.493872{col 50}{space 1}   -4.34{col 59}{space 3}0.000{col 67}{space 4} -9.40763{col 80}{space 3} -3.55176
{txt}{space 22}L1. {c |}{col 27}{res}{space 2} .4051864{col 39}{space 2} 1.744094{col 50}{space 1}    0.23{col 59}{space 3}0.816{col 67}{space 4}-3.013175{col 80}{space 3} 3.823548
{txt}{space 25} {c |}
{space 12}leader_change {c |}
{space 22}--. {c |}{col 27}{res}{space 2} 4.288422{col 39}{space 2} 1.110166{col 50}{space 1}    3.86{col 59}{space 3}0.000{col 67}{space 4} 2.112537{col 80}{space 3} 6.464307
{txt}{space 22}L1. {c |}{col 27}{res}{space 2} 4.601588{col 39}{space 2} 1.023687{col 50}{space 1}    4.50{col 59}{space 3}0.000{col 67}{space 4} 2.595197{col 80}{space 3} 6.607978
{txt}{space 22}L2. {c |}{col 27}{res}{space 2} 1.055623{col 39}{space 2} .7987432{col 50}{space 1}    1.32{col 59}{space 3}0.186{col 67}{space 4}-.5098847{col 80}{space 3} 2.621131
{txt}{space 22}F1. {c |}{col 27}{res}{space 2} 1.992463{col 39}{space 2} 1.113638{col 50}{space 1}    1.79{col 59}{space 3}0.074{col 67}{space 4}-.1902275{col 80}{space 3} 4.175154
{txt}{space 22}F2. {c |}{col 27}{res}{space 2} .0676993{col 39}{space 2} .9113049{col 50}{space 1}    0.07{col 59}{space 3}0.941{col 67}{space 4}-1.718426{col 80}{space 3} 1.853824
{txt}{space 25} {c |}
{space 20}_cons {c |}{col 27}{res}{space 2} 49.77309{col 39}{space 2} 19.07041{col 50}{space 1}    2.61{col 59}{space 3}0.009{col 67}{space 4} 12.39578{col 80}{space 3}  87.1504
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.   outreg2 using "Table A3", dec(3) append
{browse `"/Users/gregorylove/Dropbox/PSRM revisions"' :dir} : {txt}{stata `"seeout using "Table A3.txt""':seeout}

{com}. 
.  xtgls approval  l(1).c.q_grow_pc##c.q_gini_net l(0/1).q_log l(0/2).leader_change f(1/2).leader_change if  rightpres==1 & country~="Venezuela"  , cor(psar1) force    panels(heteroskedastic) rho(freg)

{txt}Cross-sectional time-series FGLS regression

Coefficients:  {res}generalized least squares
{txt}Panels:        {res}heteroskedastic
{txt}Correlation:   {res}panel-specific AR(1)

{txt}Estimated covariances{col 28}= {res}       17{txt}{col 49}Number of obs{col 67}= {res}     1,155
{txt}Estimated autocorrelations{col 28}= {res}       17{txt}{col 49}Number of groups{col 67}= {res}        17
{txt}Estimated coefficients{col 28}= {res}       11{txt}{col 49}Obs per group:
{col 63}min{col 67}= {res}        28
{txt}{col 63}avg{col 67}=  {res} 67.94118
{txt}{col 63}max{col 67}= {res}       141
{txt}{col 49}Wald chi2({res}10{txt}){col 67}=  {res}   100.27
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                 approval{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      z{col 59}   P>|z|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}q_grow_pc {c |}
{space 22}L1. {c |}{col 27}{res}{space 2}-2.886225{col 39}{space 2}  1.35802{col 50}{space 1}   -2.13{col 59}{space 3}0.034{col 67}{space 4}-5.547896{col 80}{space 3}-.2245536
{txt}{space 25} {c |}
{space 15}q_gini_net {c |}{col 27}{res}{space 2}-61.01599{col 39}{space 2}  31.1078{col 50}{space 1}   -1.96{col 59}{space 3}0.050{col 67}{space 4}-121.9862{col 80}{space 3}-.0458158
{txt}{space 25} {c |}
cL.q_grow_pc#c.q_gini_net {c |}{col 27}{res}{space 2}  6.71576{col 39}{space 2}  2.92797{col 50}{space 1}    2.29{col 59}{space 3}0.022{col 67}{space 4} .9770436{col 80}{space 3} 12.45448
{txt}{space 25} {c |}
{space 10}q_log_inflation {c |}
{space 22}--. {c |}{col 27}{res}{space 2}-1.341392{col 39}{space 2} 1.296973{col 50}{space 1}   -1.03{col 59}{space 3}0.301{col 67}{space 4}-3.883411{col 80}{space 3} 1.200628
{txt}{space 22}L1. {c |}{col 27}{res}{space 2} .7849762{col 39}{space 2}  1.25773{col 50}{space 1}    0.62{col 59}{space 3}0.533{col 67}{space 4} -1.68013{col 80}{space 3} 3.250082
{txt}{space 25} {c |}
{space 12}leader_change {c |}
{space 22}--. {c |}{col 27}{res}{space 2} 5.966088{col 39}{space 2} .7911271{col 50}{space 1}    7.54{col 59}{space 3}0.000{col 67}{space 4} 4.415508{col 80}{space 3} 7.516669
{txt}{space 22}L1. {c |}{col 27}{res}{space 2} 5.081921{col 39}{space 2} .7503815{col 50}{space 1}    6.77{col 59}{space 3}0.000{col 67}{space 4}   3.6112{col 80}{space 3} 6.552642
{txt}{space 22}L2. {c |}{col 27}{res}{space 2} 2.033406{col 39}{space 2} .5875679{col 50}{space 1}    3.46{col 59}{space 3}0.001{col 67}{space 4} .8817939{col 80}{space 3} 3.185018
{txt}{space 22}F1. {c |}{col 27}{res}{space 2} 1.256022{col 39}{space 2} .7351313{col 50}{space 1}    1.71{col 59}{space 3}0.088{col 67}{space 4}-.1848088{col 80}{space 3} 2.696853
{txt}{space 22}F2. {c |}{col 27}{res}{space 2}-.0785482{col 39}{space 2} .5731539{col 50}{space 1}   -0.14{col 59}{space 3}0.891{col 67}{space 4}-1.201909{col 80}{space 3} 1.044813
{txt}{space 25} {c |}
{space 20}_cons {c |}{col 27}{res}{space 2} 73.49171{col 39}{space 2} 14.72426{col 50}{space 1}    4.99{col 59}{space 3}0.000{col 67}{space 4} 44.63269{col 80}{space 3} 102.3507
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.   outreg2 using "Table A3", dec(3) append
{browse `"/Users/gregorylove/Dropbox/PSRM revisions"' :dir} : {txt}{stata `"seeout using "Table A3.txt""':seeout}

{com}.  
.  xtgls approval  l(1).c.q_grow_pc##c.q_gini_net l(0/1).q_log l(0/2).leader_change f(1/2).leader_change if  rightpres==0 & country~="Colombia" & DR_code==.   , cor(psar1) force    panels(heteroskedastic) rho(freg)

{txt}Cross-sectional time-series FGLS regression

Coefficients:  {res}generalized least squares
{txt}Panels:        {res}heteroskedastic
{txt}Correlation:   {res}panel-specific AR(1)

{txt}Estimated covariances{col 28}= {res}       12{txt}{col 49}Number of obs{col 67}= {res}       486
{txt}Estimated autocorrelations{col 28}= {res}       12{txt}{col 49}Number of groups{col 67}= {res}        12
{txt}Estimated coefficients{col 28}= {res}       11{txt}{col 49}Obs per group:
{col 63}min{col 67}= {res}        15
{txt}{col 63}avg{col 67}=  {res}     40.5
{txt}{col 63}max{col 67}= {res}        69
{txt}{col 49}Wald chi2({res}10{txt}){col 67}=  {res}   108.86
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                 approval{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      z{col 59}   P>|z|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}q_grow_pc {c |}
{space 22}L1. {c |}{col 27}{res}{space 2} 6.596912{col 39}{space 2} 2.335602{col 50}{space 1}    2.82{col 59}{space 3}0.005{col 67}{space 4} 2.019216{col 80}{space 3} 11.17461
{txt}{space 25} {c |}
{space 15}q_gini_net {c |}{col 27}{res}{space 2} 10.29278{col 39}{space 2} 32.76684{col 50}{space 1}    0.31{col 59}{space 3}0.753{col 67}{space 4}-53.92905{col 80}{space 3} 74.51461
{txt}{space 25} {c |}
cL.q_grow_pc#c.q_gini_net {c |}{col 27}{res}{space 2}-15.09225{col 39}{space 2} 5.439447{col 50}{space 1}   -2.77{col 59}{space 3}0.006{col 67}{space 4}-25.75337{col 80}{space 3}-4.431132
{txt}{space 25} {c |}
{space 10}q_log_inflation {c |}
{space 22}--. {c |}{col 27}{res}{space 2}-7.352631{col 39}{space 2}  1.45712{col 50}{space 1}   -5.05{col 59}{space 3}0.000{col 67}{space 4}-10.20853{col 80}{space 3}-4.496729
{txt}{space 22}L1. {c |}{col 27}{res}{space 2} 1.669301{col 39}{space 2} 1.663782{col 50}{space 1}    1.00{col 59}{space 3}0.316{col 67}{space 4}-1.591651{col 80}{space 3} 4.930253
{txt}{space 25} {c |}
{space 12}leader_change {c |}
{space 22}--. {c |}{col 27}{res}{space 2} 3.669122{col 39}{space 2} 1.005672{col 50}{space 1}    3.65{col 59}{space 3}0.000{col 67}{space 4} 1.698041{col 80}{space 3} 5.640203
{txt}{space 22}L1. {c |}{col 27}{res}{space 2} 4.148266{col 39}{space 2} .9322157{col 50}{space 1}    4.45{col 59}{space 3}0.000{col 67}{space 4} 2.321157{col 80}{space 3} 5.975375
{txt}{space 22}L2. {c |}{col 27}{res}{space 2} 1.273788{col 39}{space 2} .7309994{col 50}{space 1}    1.74{col 59}{space 3}0.081{col 67}{space 4}-.1589442{col 80}{space 3} 2.706521
{txt}{space 22}F1. {c |}{col 27}{res}{space 2} 1.012597{col 39}{space 2} .9948203{col 50}{space 1}    1.02{col 59}{space 3}0.309{col 67}{space 4}-.9372153{col 80}{space 3} 2.962409
{txt}{space 22}F2. {c |}{col 27}{res}{space 2}-.0066113{col 39}{space 2} .8116823{col 50}{space 1}   -0.01{col 59}{space 3}0.994{col 67}{space 4}-1.597479{col 80}{space 3} 1.584257
{txt}{space 25} {c |}
{space 20}_cons {c |}{col 27}{res}{space 2}  58.1351{col 39}{space 2} 15.08266{col 50}{space 1}    3.85{col 59}{space 3}0.000{col 67}{space 4} 28.57363{col 80}{space 3} 87.69658
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.   outreg2 using "Table A3", dec(3) append
{browse `"/Users/gregorylove/Dropbox/PSRM revisions"' :dir} : {txt}{stata `"seeout using "Table A3.txt""':seeout}

{com}. 
.  xtgls approval  l(1).c.q_grow_pc##c.q_gini_net l(0/1).q_log l(0/2).leader_change f(1/2).leader_change if  rightpres==1 & country~="Colombia"  , cor(psar1) force    panels(heteroskedastic) rho(freg)

{txt}Cross-sectional time-series FGLS regression

Coefficients:  {res}generalized least squares
{txt}Panels:        {res}heteroskedastic
{txt}Correlation:   {res}panel-specific AR(1)

{txt}Estimated covariances{col 28}= {res}       17{txt}{col 49}Number of obs{col 67}= {res}     1,125
{txt}Estimated autocorrelations{col 28}= {res}       17{txt}{col 49}Number of groups{col 67}= {res}        17
{txt}Estimated coefficients{col 28}= {res}       11{txt}{col 49}Obs per group:
{col 63}min{col 67}= {res}        28
{txt}{col 63}avg{col 67}=  {res} 66.17647
{txt}{col 63}max{col 67}= {res}       141
{txt}{col 49}Wald chi2({res}10{txt}){col 67}=  {res}    95.51
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                 approval{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      z{col 59}   P>|z|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}q_grow_pc {c |}
{space 22}L1. {c |}{col 27}{res}{space 2}-2.881844{col 39}{space 2} 1.284988{col 50}{space 1}   -2.24{col 59}{space 3}0.025{col 67}{space 4}-5.400374{col 80}{space 3}-.3633143
{txt}{space 25} {c |}
{space 15}q_gini_net {c |}{col 27}{res}{space 2}-41.53186{col 39}{space 2} 26.73699{col 50}{space 1}   -1.55{col 59}{space 3}0.120{col 67}{space 4}-93.93541{col 80}{space 3} 10.87168
{txt}{space 25} {c |}
cL.q_grow_pc#c.q_gini_net {c |}{col 27}{res}{space 2} 6.638439{col 39}{space 2} 2.814536{col 50}{space 1}    2.36{col 59}{space 3}0.018{col 67}{space 4}  1.12205{col 80}{space 3} 12.15483
{txt}{space 25} {c |}
{space 10}q_log_inflation {c |}
{space 22}--. {c |}{col 27}{res}{space 2}-1.641287{col 39}{space 2} 1.296815{col 50}{space 1}   -1.27{col 59}{space 3}0.206{col 67}{space 4}-4.182998{col 80}{space 3} .9004236
{txt}{space 22}L1. {c |}{col 27}{res}{space 2} .9349108{col 39}{space 2} 1.257726{col 50}{space 1}    0.74{col 59}{space 3}0.457{col 67}{space 4}-1.530186{col 80}{space 3} 3.400008
{txt}{space 25} {c |}
{space 12}leader_change {c |}
{space 22}--. {c |}{col 27}{res}{space 2} 6.299079{col 39}{space 2} .8025885{col 50}{space 1}    7.85{col 59}{space 3}0.000{col 67}{space 4} 4.726034{col 80}{space 3} 7.872123
{txt}{space 22}L1. {c |}{col 27}{res}{space 2}  4.89669{col 39}{space 2}  .765311{col 50}{space 1}    6.40{col 59}{space 3}0.000{col 67}{space 4} 3.396708{col 80}{space 3} 6.396672
{txt}{space 22}L2. {c |}{col 27}{res}{space 2} 1.881437{col 39}{space 2} .5994202{col 50}{space 1}    3.14{col 59}{space 3}0.002{col 67}{space 4}  .706595{col 80}{space 3} 3.056279
{txt}{space 22}F1. {c |}{col 27}{res}{space 2} 1.635738{col 39}{space 2} .7441884{col 50}{space 1}    2.20{col 59}{space 3}0.028{col 67}{space 4} .1771552{col 80}{space 3}  3.09432
{txt}{space 22}F2. {c |}{col 27}{res}{space 2} .1061661{col 39}{space 2} .5801434{col 50}{space 1}    0.18{col 59}{space 3}0.855{col 67}{space 4}-1.030894{col 80}{space 3} 1.243226
{txt}{space 25} {c |}
{space 20}_cons {c |}{col 27}{res}{space 2} 63.42225{col 39}{space 2} 12.57159{col 50}{space 1}    5.04{col 59}{space 3}0.000{col 67}{space 4} 38.78239{col 80}{space 3} 88.06211
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.   outreg2 using "Table A3", dec(3) append
{browse `"/Users/gregorylove/Dropbox/PSRM revisions"' :dir} : {txt}{stata `"seeout using "Table A3.txt""':seeout}

{com}. 
.  xtgls approval  l(1).c.q_grow_pc##c.q_gini_net l(0/1).q_log l(0/2).leader_change f(1/2).leader_change if  rightpres==0 & country~="Colombia" & DR_code==.   , cor(psar1) force    panels(heteroskedastic) rho(freg)

{txt}Cross-sectional time-series FGLS regression

Coefficients:  {res}generalized least squares
{txt}Panels:        {res}heteroskedastic
{txt}Correlation:   {res}panel-specific AR(1)

{txt}Estimated covariances{col 28}= {res}       12{txt}{col 49}Number of obs{col 67}= {res}       486
{txt}Estimated autocorrelations{col 28}= {res}       12{txt}{col 49}Number of groups{col 67}= {res}        12
{txt}Estimated coefficients{col 28}= {res}       11{txt}{col 49}Obs per group:
{col 63}min{col 67}= {res}        15
{txt}{col 63}avg{col 67}=  {res}     40.5
{txt}{col 63}max{col 67}= {res}        69
{txt}{col 49}Wald chi2({res}10{txt}){col 67}=  {res}   108.86
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                 approval{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      z{col 59}   P>|z|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}q_grow_pc {c |}
{space 22}L1. {c |}{col 27}{res}{space 2} 6.596912{col 39}{space 2} 2.335602{col 50}{space 1}    2.82{col 59}{space 3}0.005{col 67}{space 4} 2.019216{col 80}{space 3} 11.17461
{txt}{space 25} {c |}
{space 15}q_gini_net {c |}{col 27}{res}{space 2} 10.29278{col 39}{space 2} 32.76684{col 50}{space 1}    0.31{col 59}{space 3}0.753{col 67}{space 4}-53.92905{col 80}{space 3} 74.51461
{txt}{space 25} {c |}
cL.q_grow_pc#c.q_gini_net {c |}{col 27}{res}{space 2}-15.09225{col 39}{space 2} 5.439447{col 50}{space 1}   -2.77{col 59}{space 3}0.006{col 67}{space 4}-25.75337{col 80}{space 3}-4.431132
{txt}{space 25} {c |}
{space 10}q_log_inflation {c |}
{space 22}--. {c |}{col 27}{res}{space 2}-7.352631{col 39}{space 2}  1.45712{col 50}{space 1}   -5.05{col 59}{space 3}0.000{col 67}{space 4}-10.20853{col 80}{space 3}-4.496729
{txt}{space 22}L1. {c |}{col 27}{res}{space 2} 1.669301{col 39}{space 2} 1.663782{col 50}{space 1}    1.00{col 59}{space 3}0.316{col 67}{space 4}-1.591651{col 80}{space 3} 4.930253
{txt}{space 25} {c |}
{space 12}leader_change {c |}
{space 22}--. {c |}{col 27}{res}{space 2} 3.669122{col 39}{space 2} 1.005672{col 50}{space 1}    3.65{col 59}{space 3}0.000{col 67}{space 4} 1.698041{col 80}{space 3} 5.640203
{txt}{space 22}L1. {c |}{col 27}{res}{space 2} 4.148266{col 39}{space 2} .9322157{col 50}{space 1}    4.45{col 59}{space 3}0.000{col 67}{space 4} 2.321157{col 80}{space 3} 5.975375
{txt}{space 22}L2. {c |}{col 27}{res}{space 2} 1.273788{col 39}{space 2} .7309994{col 50}{space 1}    1.74{col 59}{space 3}0.081{col 67}{space 4}-.1589442{col 80}{space 3} 2.706521
{txt}{space 22}F1. {c |}{col 27}{res}{space 2} 1.012597{col 39}{space 2} .9948203{col 50}{space 1}    1.02{col 59}{space 3}0.309{col 67}{space 4}-.9372153{col 80}{space 3} 2.962409
{txt}{space 22}F2. {c |}{col 27}{res}{space 2}-.0066113{col 39}{space 2} .8116823{col 50}{space 1}   -0.01{col 59}{space 3}0.994{col 67}{space 4}-1.597479{col 80}{space 3} 1.584257
{txt}{space 25} {c |}
{space 20}_cons {c |}{col 27}{res}{space 2}  58.1351{col 39}{space 2} 15.08266{col 50}{space 1}    3.85{col 59}{space 3}0.000{col 67}{space 4} 28.57363{col 80}{space 3} 87.69658
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.   outreg2 using "Table A3", dec(3) append
{browse `"/Users/gregorylove/Dropbox/PSRM revisions"' :dir} : {txt}{stata `"seeout using "Table A3.txt""':seeout}

{com}. 
.  xtgls approval  l(1).c.q_grow_pc##c.q_gini_net l(0/1).q_log l(0/2).leader_change f(1/2).leader_change if  rightpres==1 & country~="Colombia"  , cor(psar1) force    panels(heteroskedastic) rho(freg)

{txt}Cross-sectional time-series FGLS regression

Coefficients:  {res}generalized least squares
{txt}Panels:        {res}heteroskedastic
{txt}Correlation:   {res}panel-specific AR(1)

{txt}Estimated covariances{col 28}= {res}       17{txt}{col 49}Number of obs{col 67}= {res}     1,125
{txt}Estimated autocorrelations{col 28}= {res}       17{txt}{col 49}Number of groups{col 67}= {res}        17
{txt}Estimated coefficients{col 28}= {res}       11{txt}{col 49}Obs per group:
{col 63}min{col 67}= {res}        28
{txt}{col 63}avg{col 67}=  {res} 66.17647
{txt}{col 63}max{col 67}= {res}       141
{txt}{col 49}Wald chi2({res}10{txt}){col 67}=  {res}    95.51
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                 approval{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      z{col 59}   P>|z|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}q_grow_pc {c |}
{space 22}L1. {c |}{col 27}{res}{space 2}-2.881844{col 39}{space 2} 1.284988{col 50}{space 1}   -2.24{col 59}{space 3}0.025{col 67}{space 4}-5.400374{col 80}{space 3}-.3633143
{txt}{space 25} {c |}
{space 15}q_gini_net {c |}{col 27}{res}{space 2}-41.53186{col 39}{space 2} 26.73699{col 50}{space 1}   -1.55{col 59}{space 3}0.120{col 67}{space 4}-93.93541{col 80}{space 3} 10.87168
{txt}{space 25} {c |}
cL.q_grow_pc#c.q_gini_net {c |}{col 27}{res}{space 2} 6.638439{col 39}{space 2} 2.814536{col 50}{space 1}    2.36{col 59}{space 3}0.018{col 67}{space 4}  1.12205{col 80}{space 3} 12.15483
{txt}{space 25} {c |}
{space 10}q_log_inflation {c |}
{space 22}--. {c |}{col 27}{res}{space 2}-1.641287{col 39}{space 2} 1.296815{col 50}{space 1}   -1.27{col 59}{space 3}0.206{col 67}{space 4}-4.182998{col 80}{space 3} .9004236
{txt}{space 22}L1. {c |}{col 27}{res}{space 2} .9349108{col 39}{space 2} 1.257726{col 50}{space 1}    0.74{col 59}{space 3}0.457{col 67}{space 4}-1.530186{col 80}{space 3} 3.400008
{txt}{space 25} {c |}
{space 12}leader_change {c |}
{space 22}--. {c |}{col 27}{res}{space 2} 6.299079{col 39}{space 2} .8025885{col 50}{space 1}    7.85{col 59}{space 3}0.000{col 67}{space 4} 4.726034{col 80}{space 3} 7.872123
{txt}{space 22}L1. {c |}{col 27}{res}{space 2}  4.89669{col 39}{space 2}  .765311{col 50}{space 1}    6.40{col 59}{space 3}0.000{col 67}{space 4} 3.396708{col 80}{space 3} 6.396672
{txt}{space 22}L2. {c |}{col 27}{res}{space 2} 1.881437{col 39}{space 2} .5994202{col 50}{space 1}    3.14{col 59}{space 3}0.002{col 67}{space 4}  .706595{col 80}{space 3} 3.056279
{txt}{space 22}F1. {c |}{col 27}{res}{space 2} 1.635738{col 39}{space 2} .7441884{col 50}{space 1}    2.20{col 59}{space 3}0.028{col 67}{space 4} .1771552{col 80}{space 3}  3.09432
{txt}{space 22}F2. {c |}{col 27}{res}{space 2} .1061661{col 39}{space 2} .5801434{col 50}{space 1}    0.18{col 59}{space 3}0.855{col 67}{space 4}-1.030894{col 80}{space 3} 1.243226
{txt}{space 25} {c |}
{space 20}_cons {c |}{col 27}{res}{space 2} 63.42225{col 39}{space 2} 12.57159{col 50}{space 1}    5.04{col 59}{space 3}0.000{col 67}{space 4} 38.78239{col 80}{space 3} 88.06211
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.   outreg2 using "Table A3", excel dec(3) append
{txt}{browse `"Table A3.xml"'}
{browse `"/Users/gregorylove/Dropbox/PSRM revisions"' :dir}{com} : {txt}{stata `"seeout using "Table A3.txt""':seeout}

{com}.   
.   **Table A4, fixed effects and 3-way interaction**
.        xtgls approval  l(1).c.q_grow_pc##c.q_gini_net l(0/1).q_log l(0/2).leader_change f(1/2).leader_change i.country_code if  rightpres==0   , cor(psar1) force    panels(i) rho(freg)
{txt}(note: {res}1{txt} observations dropped because only 1 obs in group)

Cross-sectional time-series FGLS regression

Coefficients:  {res}generalized least squares
{txt}Panels:        {res}homoskedastic
{txt}Correlation:   {res}panel-specific AR(1)

{txt}Estimated covariances{col 28}= {res}        1{txt}{col 49}Number of obs{col 67}= {res}       502
{txt}Estimated autocorrelations{col 28}= {res}       13{txt}{col 49}Number of groups{col 67}= {res}        13
{txt}Estimated coefficients{col 28}= {res}       23{txt}{col 49}Obs per group:
{col 63}min{col 67}= {res}        15
{txt}{col 63}avg{col 67}=  {res} 38.61538
{txt}{col 63}max{col 67}= {res}        69
{txt}{col 49}Wald chi2({res}22{txt}){col 67}=  {res}   141.88
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                 approval{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      z{col 59}   P>|z|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}q_grow_pc {c |}
{space 22}L1. {c |}{col 27}{res}{space 2} 5.356904{col 39}{space 2} 2.479888{col 50}{space 1}    2.16{col 59}{space 3}0.031{col 67}{space 4} .4964134{col 80}{space 3}  10.2174
{txt}{space 25} {c |}
{space 15}q_gini_net {c |}{col 27}{res}{space 2} 53.31287{col 39}{space 2} 55.72893{col 50}{space 1}    0.96{col 59}{space 3}0.339{col 67}{space 4}-55.91383{col 80}{space 3} 162.5396
{txt}{space 25} {c |}
cL.q_grow_pc#c.q_gini_net {c |}{col 27}{res}{space 2}-11.58311{col 39}{space 2} 5.674064{col 50}{space 1}   -2.04{col 59}{space 3}0.041{col 67}{space 4}-22.70407{col 80}{space 3}-.4621524
{txt}{space 25} {c |}
{space 10}q_log_inflation {c |}
{space 22}--. {c |}{col 27}{res}{space 2}-7.923059{col 39}{space 2} 1.695796{col 50}{space 1}   -4.67{col 59}{space 3}0.000{col 67}{space 4}-11.24676{col 80}{space 3} -4.59936
{txt}{space 22}L1. {c |}{col 27}{res}{space 2} 2.014875{col 39}{space 2} 1.915637{col 50}{space 1}    1.05{col 59}{space 3}0.293{col 67}{space 4}-1.739703{col 80}{space 3} 5.769454
{txt}{space 25} {c |}
{space 12}leader_change {c |}
{space 22}--. {c |}{col 27}{res}{space 2} 3.712922{col 39}{space 2} 1.111986{col 50}{space 1}    3.34{col 59}{space 3}0.001{col 67}{space 4} 1.533469{col 80}{space 3} 5.892374
{txt}{space 22}L1. {c |}{col 27}{res}{space 2} 4.293147{col 39}{space 2} 1.040572{col 50}{space 1}    4.13{col 59}{space 3}0.000{col 67}{space 4} 2.253664{col 80}{space 3}  6.33263
{txt}{space 22}L2. {c |}{col 27}{res}{space 2} 1.267177{col 39}{space 2} .8251591{col 50}{space 1}    1.54{col 59}{space 3}0.125{col 67}{space 4}-.3501054{col 80}{space 3} 2.884459
{txt}{space 22}F1. {c |}{col 27}{res}{space 2} .9926821{col 39}{space 2} 1.110327{col 50}{space 1}    0.89{col 59}{space 3}0.371{col 67}{space 4}-1.183519{col 80}{space 3} 3.168883
{txt}{space 22}F2. {c |}{col 27}{res}{space 2} .0033009{col 39}{space 2} .9159951{col 50}{space 1}    0.00{col 59}{space 3}0.997{col 67}{space 4}-1.792017{col 80}{space 3} 1.798618
{txt}{space 25} {c |}
{space 13}country_code {c |}
{space 17}Bolivia  {c |}{col 27}{res}{space 2} 5.003722{col 39}{space 2} 7.355333{col 50}{space 1}    0.68{col 59}{space 3}0.496{col 67}{space 4}-9.412465{col 80}{space 3} 19.41991
{txt}{space 18}Brazil  {c |}{col 27}{res}{space 2} 7.370076{col 39}{space 2} 5.055182{col 50}{space 1}    1.46{col 59}{space 3}0.145{col 67}{space 4}-2.537897{col 80}{space 3} 17.27805
{txt}{space 19}Chile  {c |}{col 27}{res}{space 2}-2.572149{col 39}{space 2} 5.491576{col 50}{space 1}   -0.47{col 59}{space 3}0.640{col 67}{space 4}-13.33544{col 80}{space 3} 8.191142
{txt}{space 16}Colombia  {c |}{col 27}{res}{space 2} 6.768965{col 39}{space 2} 11.45952{col 50}{space 1}    0.59{col 59}{space 3}0.555{col 67}{space 4}-15.69128{col 80}{space 3} 29.22921
{txt}{space 6}Dominican Republic  {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 17}Ecuador  {c |}{col 27}{res}{space 2} 9.549533{col 39}{space 2} 5.451279{col 50}{space 1}    1.75{col 59}{space 3}0.080{col 67}{space 4}-1.134778{col 80}{space 3} 20.23384
{txt}{space 13}El Salvador  {c |}{col 27}{res}{space 2} 12.67012{col 39}{space 2} 5.971261{col 50}{space 1}    2.12{col 59}{space 3}0.034{col 67}{space 4} .9666598{col 80}{space 3} 24.37357
{txt}{space 15}Guatemala  {c |}{col 27}{res}{space 2} 1.329993{col 39}{space 2}  4.81895{col 50}{space 1}    0.28{col 59}{space 3}0.783{col 67}{space 4}-8.114977{col 80}{space 3} 10.77496
{txt}{space 15}Nicaragua  {c |}{col 27}{res}{space 2} 3.724625{col 39}{space 2} 6.080983{col 50}{space 1}    0.61{col 59}{space 3}0.540{col 67}{space 4}-8.193882{col 80}{space 3} 15.64313
{txt}{space 16}Paraguay  {c |}{col 27}{res}{space 2}-2.427178{col 39}{space 2} 4.564383{col 50}{space 1}   -0.53{col 59}{space 3}0.595{col 67}{space 4} -11.3732{col 80}{space 3} 6.518849
{txt}{space 20}Peru  {c |}{col 27}{res}{space 2}-23.05559{col 39}{space 2} 6.143788{col 50}{space 1}   -3.75{col 59}{space 3}0.000{col 67}{space 4}-35.09719{col 80}{space 3}-11.01398
{txt}{space 17}Uruguay  {c |}{col 27}{res}{space 2} 10.04602{col 39}{space 2} 5.069102{col 50}{space 1}    1.98{col 59}{space 3}0.047{col 67}{space 4} .1107659{col 80}{space 3} 19.98128
{txt}{space 15}Venezuela  {c |}{col 27}{res}{space 2}  4.48948{col 39}{space 2} 5.286704{col 50}{space 1}    0.85{col 59}{space 3}0.396{col 67}{space 4}-5.872269{col 80}{space 3} 14.85123
{txt}{space 25} {c |}
{space 20}_cons {c |}{col 27}{res}{space 2} 36.03945{col 39}{space 2}  24.4203{col 50}{space 1}    1.48{col 59}{space 3}0.140{col 67}{space 4}-11.82345{col 80}{space 3} 83.90236
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.   outreg2 using "Table A4 m1",  replace
{browse `"/Users/gregorylove/Dropbox/PSRM revisions"' :dir} : {txt}{stata `"seeout using "Table A4 m1.txt""':seeout}

{com}.   
.   xtgls approval  l(1).c.q_grow_pc##c.q_gini_net l(0/1).q_log l(0/2).leader_change f(1/2).leader_change i.country_code if  rightpres==1   , cor(psar1) force    panels(heteroskedastic) rho(freg)

{txt}Cross-sectional time-series FGLS regression

Coefficients:  {res}generalized least squares
{txt}Panels:        {res}heteroskedastic
{txt}Correlation:   {res}panel-specific AR(1)

{txt}Estimated covariances{col 28}= {res}       18{txt}{col 49}Number of obs{col 67}= {res}     1,195
{txt}Estimated autocorrelations{col 28}= {res}       18{txt}{col 49}Number of groups{col 67}= {res}        18
{txt}Estimated coefficients{col 28}= {res}       28{txt}{col 49}Obs per group:
{col 63}min{col 67}= {res}        28
{txt}{col 63}avg{col 67}=  {res} 66.38889
{txt}{col 63}max{col 67}= {res}       141
{txt}{col 49}Wald chi2({res}27{txt}){col 67}=  {res}   199.77
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                 approval{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      z{col 59}   P>|z|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}q_grow_pc {c |}
{space 22}L1. {c |}{col 27}{res}{space 2}-3.113191{col 39}{space 2} 1.201501{col 50}{space 1}   -2.59{col 59}{space 3}0.010{col 67}{space 4} -5.46809{col 80}{space 3}-.7582913
{txt}{space 25} {c |}
{space 15}q_gini_net {c |}{col 27}{res}{space 2}-222.9928{col 39}{space 2}  48.5319{col 50}{space 1}   -4.59{col 59}{space 3}0.000{col 67}{space 4}-318.1135{col 80}{space 3} -127.872
{txt}{space 25} {c |}
cL.q_grow_pc#c.q_gini_net {c |}{col 27}{res}{space 2} 7.205774{col 39}{space 2} 2.632532{col 50}{space 1}    2.74{col 59}{space 3}0.006{col 67}{space 4} 2.046106{col 80}{space 3} 12.36544
{txt}{space 25} {c |}
{space 10}q_log_inflation {c |}
{space 22}--. {c |}{col 27}{res}{space 2}-.8373551{col 39}{space 2} 1.290962{col 50}{space 1}   -0.65{col 59}{space 3}0.517{col 67}{space 4}-3.367593{col 80}{space 3} 1.692883
{txt}{space 22}L1. {c |}{col 27}{res}{space 2} 1.455895{col 39}{space 2} 1.255359{col 50}{space 1}    1.16{col 59}{space 3}0.246{col 67}{space 4}-1.004564{col 80}{space 3} 3.916353
{txt}{space 25} {c |}
{space 12}leader_change {c |}
{space 22}--. {c |}{col 27}{res}{space 2}  6.08112{col 39}{space 2} .7706362{col 50}{space 1}    7.89{col 59}{space 3}0.000{col 67}{space 4} 4.570701{col 80}{space 3} 7.591539
{txt}{space 22}L1. {c |}{col 27}{res}{space 2} 5.135298{col 39}{space 2} .7343255{col 50}{space 1}    6.99{col 59}{space 3}0.000{col 67}{space 4} 3.696046{col 80}{space 3} 6.574549
{txt}{space 22}L2. {c |}{col 27}{res}{space 2} 2.163258{col 39}{space 2}  .580183{col 50}{space 1}    3.73{col 59}{space 3}0.000{col 67}{space 4}  1.02612{col 80}{space 3} 3.300395
{txt}{space 22}F1. {c |}{col 27}{res}{space 2} 1.453306{col 39}{space 2} .7177504{col 50}{space 1}    2.02{col 59}{space 3}0.043{col 67}{space 4} .0465415{col 80}{space 3} 2.860071
{txt}{space 22}F2. {c |}{col 27}{res}{space 2} .0799624{col 39}{space 2} .5666377{col 50}{space 1}    0.14{col 59}{space 3}0.888{col 67}{space 4}-1.030627{col 80}{space 3} 1.190552
{txt}{space 25} {c |}
{space 13}country_code {c |}
{space 17}Bolivia  {c |}{col 27}{res}{space 2} 14.88416{col 39}{space 2} 6.442946{col 50}{space 1}    2.31{col 59}{space 3}0.021{col 67}{space 4}  2.25622{col 80}{space 3}  27.5121
{txt}{space 18}Brazil  {c |}{col 27}{res}{space 2} 16.19962{col 39}{space 2} 6.429889{col 50}{space 1}    2.52{col 59}{space 3}0.012{col 67}{space 4} 3.597274{col 80}{space 3} 28.80197
{txt}{space 19}Chile  {c |}{col 27}{res}{space 2} 12.94434{col 39}{space 2} 7.543703{col 50}{space 1}    1.72{col 59}{space 3}0.086{col 67}{space 4}-1.841047{col 80}{space 3} 27.72973
{txt}{space 16}Colombia  {c |}{col 27}{res}{space 2} 24.29274{col 39}{space 2} 10.10547{col 50}{space 1}    2.40{col 59}{space 3}0.016{col 67}{space 4}  4.48639{col 80}{space 3}  44.0991
{txt}{space 14}Costa Rica  {c |}{col 27}{res}{space 2}-4.156158{col 39}{space 2}  4.45637{col 50}{space 1}   -0.93{col 59}{space 3}0.351{col 67}{space 4}-12.89048{col 80}{space 3} 4.578167
{txt}{space 6}Dominican Republic  {c |}{col 27}{res}{space 2}  24.3214{col 39}{space 2} 7.138215{col 50}{space 1}    3.41{col 59}{space 3}0.001{col 67}{space 4} 10.33075{col 80}{space 3} 38.31204
{txt}{space 17}Ecuador  {c |}{col 27}{res}{space 2} 16.11545{col 39}{space 2} 4.574445{col 50}{space 1}    3.52{col 59}{space 3}0.000{col 67}{space 4} 7.149699{col 80}{space 3} 25.08119
{txt}{space 13}El Salvador  {c |}{col 27}{res}{space 2} 11.52543{col 39}{space 2} 5.628696{col 50}{space 1}    2.05{col 59}{space 3}0.041{col 67}{space 4}  .493392{col 80}{space 3} 22.55747
{txt}{space 15}Guatemala  {c |}{col 27}{res}{space 2}  10.0593{col 39}{space 2} 6.695382{col 50}{space 1}    1.50{col 59}{space 3}0.133{col 67}{space 4} -3.06341{col 80}{space 3} 23.18201
{txt}{space 16}Honduras  {c |}{col 27}{res}{space 2} 14.81846{col 39}{space 2} 9.845688{col 50}{space 1}    1.51{col 59}{space 3}0.132{col 67}{space 4}-4.478731{col 80}{space 3} 34.11566
{txt}{space 18}Mexico  {c |}{col 27}{res}{space 2} 21.49542{col 39}{space 2} 4.010552{col 50}{space 1}    5.36{col 59}{space 3}0.000{col 67}{space 4} 13.63488{col 80}{space 3} 29.35596
{txt}{space 15}Nicaragua  {c |}{col 27}{res}{space 2} .2993881{col 39}{space 2} 5.581933{col 50}{space 1}    0.05{col 59}{space 3}0.957{col 67}{space 4}  -10.641{col 80}{space 3} 11.23978
{txt}{space 18}Panama  {c |}{col 27}{res}{space 2} 15.71254{col 39}{space 2} 5.077977{col 50}{space 1}    3.09{col 59}{space 3}0.002{col 67}{space 4} 5.759891{col 80}{space 3}  25.6652
{txt}{space 16}Paraguay  {c |}{col 27}{res}{space 2} 1.489787{col 39}{space 2} 6.068328{col 50}{space 1}    0.25{col 59}{space 3}0.806{col 67}{space 4}-10.40392{col 80}{space 3} 13.38349
{txt}{space 20}Peru  {c |}{col 27}{res}{space 2} 6.736521{col 39}{space 2} 6.522483{col 50}{space 1}    1.03{col 59}{space 3}0.302{col 67}{space 4}-6.047309{col 80}{space 3} 19.52035
{txt}{space 17}Uruguay  {c |}{col 27}{res}{space 2}-15.29403{col 39}{space 2} 5.247225{col 50}{space 1}   -2.91{col 59}{space 3}0.004{col 67}{space 4} -25.5784{col 80}{space 3}-5.009656
{txt}{space 15}Venezuela  {c |}{col 27}{res}{space 2}-7.756558{col 39}{space 2} 3.363449{col 50}{space 1}   -2.31{col 59}{space 3}0.021{col 67}{space 4} -14.3488{col 80}{space 3} -1.16432
{txt}{space 25} {c |}
{space 20}_cons {c |}{col 27}{res}{space 2}  137.405{col 39}{space 2} 20.99531{col 50}{space 1}    6.54{col 59}{space 3}0.000{col 67}{space 4} 96.25491{col 80}{space 3}  178.555
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.   outreg2 using "Table A4 m2",  replace
{browse `"/Users/gregorylove/Dropbox/PSRM revisions"' :dir} : {txt}{stata `"seeout using "Table A4 m2.txt""':seeout}

{com}. 
.   xtgls approval  l(1).c.q_grow_pc##c.q_gini_net##rightpres l(0/1).q_log l(0/2).leader_change f(1/2).leader_change    , cor(psar1) force    panels(heterosk) rho(freg)

{txt}Cross-sectional time-series FGLS regression

Coefficients:  {res}generalized least squares
{txt}Panels:        {res}heteroskedastic
{txt}Correlation:   {res}panel-specific AR(1)

{txt}Estimated covariances{col 28}= {res}       18{txt}{col 49}Number of obs{col 67}= {res}     1,698
{txt}Estimated autocorrelations{col 28}= {res}       18{txt}{col 49}Number of groups{col 67}= {res}        18
{txt}Estimated coefficients{col 28}= {res}       15{txt}{col 49}Obs per group:
{col 63}min{col 67}= {res}        46
{txt}{col 63}avg{col 67}=  {res} 94.33333
{txt}{col 63}max{col 67}= {res}       141
{txt}{col 49}Wald chi2({res}14{txt}){col 67}=  {res}   239.35
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000

{txt}{hline 36}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                           approval{col 37}{c |}      Coef.{col 49}   Std. Err.{col 61}      z{col 69}   P>|z|{col 77}     [95% Con{col 90}f. Interval]
{hline 36}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 26}q_grow_pc {c |}
{space 32}L1. {c |}{col 37}{res}{space 2} 2.745905{col 49}{space 2} 2.503798{col 60}{space 1}    1.10{col 69}{space 3}0.273{col 77}{space 4}-2.161449{col 90}{space 3} 7.653259
{txt}{space 35} {c |}
{space 25}q_gini_net {c |}{col 37}{res}{space 2}-47.13928{col 49}{space 2} 32.22745{col 60}{space 1}   -1.46{col 69}{space 3}0.144{col 77}{space 4}-110.3039{col 90}{space 3} 16.02535
{txt}{space 35} {c |}
{space 10}cL.q_grow_pc#c.q_gini_net {c |}{col 37}{res}{space 2}-4.954042{col 49}{space 2} 5.772192{col 60}{space 1}   -0.86{col 69}{space 3}0.391{col 77}{space 4}-16.26733{col 90}{space 3} 6.359246
{txt}{space 35} {c |}
{space 26}rightpres {c |}
{space 16}Rightist President  {c |}{col 37}{res}{space 2}-20.75896{col 49}{space 2} 14.34235{col 60}{space 1}   -1.45{col 69}{space 3}0.148{col 77}{space 4}-48.86944{col 90}{space 3} 7.351528
{txt}{space 35} {c |}
{space 13}rightpres#cL.q_grow_pc {c |}
{space 16}Rightist President  {c |}{col 37}{res}{space 2} -6.54679{col 49}{space 2}  2.80895{col 60}{space 1}   -2.33{col 69}{space 3}0.020{col 77}{space 4}-12.05223{col 90}{space 3} -1.04135
{txt}{space 35} {c |}
{space 13}rightpres#c.q_gini_net {c |}
{space 16}Rightist President  {c |}{col 37}{res}{space 2} 31.94607{col 49}{space 2} 31.41461{col 60}{space 1}    1.02{col 69}{space 3}0.309{col 77}{space 4}-29.62544{col 90}{space 3} 93.51757
{txt}{space 35} {c |}
rightpres#cL.q_grow_pc#c.q_gini_net {c |}
{space 16}Rightist President  {c |}{col 37}{res}{space 2} 13.40704{col 49}{space 2} 6.367244{col 60}{space 1}    2.11{col 69}{space 3}0.035{col 77}{space 4} .9274704{col 90}{space 3} 25.88661
{txt}{space 35} {c |}
{space 20}q_log_inflation {c |}
{space 32}--. {c |}{col 37}{res}{space 2}-1.854904{col 49}{space 2} .9927888{col 60}{space 1}   -1.87{col 69}{space 3}0.062{col 77}{space 4}-3.800735{col 90}{space 3}  .090926
{txt}{space 32}L1. {c |}{col 37}{res}{space 2}  .255152{col 49}{space 2} .9930463{col 60}{space 1}    0.26{col 69}{space 3}0.797{col 77}{space 4}-1.691183{col 90}{space 3} 2.201487
{txt}{space 35} {c |}
{space 22}leader_change {c |}
{space 32}--. {c |}{col 37}{res}{space 2} 5.745205{col 49}{space 2} .6408558{col 60}{space 1}    8.96{col 69}{space 3}0.000{col 77}{space 4} 4.489151{col 90}{space 3} 7.001259
{txt}{space 32}L1. {c |}{col 37}{res}{space 2} 5.073733{col 49}{space 2} .6014193{col 60}{space 1}    8.44{col 69}{space 3}0.000{col 77}{space 4} 3.894973{col 90}{space 3} 6.252493
{txt}{space 32}L2. {c |}{col 37}{res}{space 2} 1.974655{col 49}{space 2} .4668157{col 60}{space 1}    4.23{col 69}{space 3}0.000{col 77}{space 4} 1.059713{col 90}{space 3} 2.889597
{txt}{space 32}F1. {c |}{col 37}{res}{space 2} 1.167312{col 49}{space 2} .6102237{col 60}{space 1}    1.91{col 69}{space 3}0.056{col 77}{space 4}-.0287047{col 90}{space 3} 2.363328
{txt}{space 32}F2. {c |}{col 37}{res}{space 2}-.0180692{col 49}{space 2} .4777747{col 60}{space 1}   -0.04{col 69}{space 3}0.970{col 77}{space 4}-.9544905{col 90}{space 3}  .918352
{txt}{space 35} {c |}
{space 30}_cons {c |}{col 37}{res}{space 2} 73.51814{col 49}{space 2}  14.5755{col 60}{space 1}    5.04{col 69}{space 3}0.000{col 77}{space 4} 44.95068{col 90}{space 3} 102.0856
{txt}{hline 36}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.     outreg2 using "Table A4 m3",  replace
{browse `"/Users/gregorylove/Dropbox/PSRM revisions"' :dir} : {txt}{stata `"seeout using "Table A4 m3.txt""':seeout}

{com}.         
.                  quietly: margins , dydx(l.q_grow_pc) at( q_gini_net=(.30(.01).6) rightpres=(0 1) ) level(95) plot (recast(line) recastci(rline)  yline(0) scheme(sj)  xtitle(Growth) xtitle(, size(medsmall))  graphregion(fcolor(white) lcolor(white)) title("Figure A1. Conditional Effect of Growth - Based on 3-Way Interaction, 95% c.i.", size(medium)) xsize(5.84) ysize(4.25) by(rightpres))
{txt}
{com}. marginsplot, recast(line) recastci(rline)  yline(0) scheme(sj)  xtitle(Growth) xtitle(, size(medsmall))  graphregion(fcolor(white) lcolor(white)) title("Figure A1. Conditional Effect of Growth - Based on 3-Way Interaction, 95% c.i.", size(medium)) xsize(5.84) ysize(4.25) by(rightpres)
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: q_gini_net rightpres{p_end}
{res}{txt}
{com}. 
. 
.   ***Memo & Appendix---inequality terciles***
.    xtgls approval  l(1).c.q_grow_pc##left_gini_dummies l(0/1).q_log l(0/2).leader_change f(1/2).leader_change  if  rightpres==0   , cor(psar1) force    panels(heteroskedastic) rho(freg)
{txt}(note: {res}1{txt} observations dropped because only 1 obs in group)

Cross-sectional time-series FGLS regression

Coefficients:  {res}generalized least squares
{txt}Panels:        {res}heteroskedastic
{txt}Correlation:   {res}panel-specific AR(1)

{txt}Estimated covariances{col 28}= {res}       13{txt}{col 49}Number of obs{col 67}= {res}       502
{txt}Estimated autocorrelations{col 28}= {res}       13{txt}{col 49}Number of groups{col 67}= {res}        13
{txt}Estimated coefficients{col 28}= {res}       13{txt}{col 49}Obs per group:
{col 63}min{col 67}= {res}        15
{txt}{col 63}avg{col 67}=  {res} 38.61538
{txt}{col 63}max{col 67}= {res}        69
{txt}{col 49}Wald chi2({res}12{txt}){col 67}=  {res}   121.37
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000

{txt}{hline 31}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                      approval{col 32}{c |}      Coef.{col 44}   Std. Err.{col 56}      z{col 64}   P>|z|{col 72}     [95% Con{col 85}f. Interval]
{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 21}q_grow_pc {c |}
{space 27}L1. {c |}{col 32}{res}{space 2} .3264066{col 44}{space 2} .1800009{col 55}{space 1}    1.81{col 64}{space 3}0.070{col 72}{space 4}-.0263886{col 85}{space 3} .6792019
{txt}{space 30} {c |}
{space 13}left_gini_dummies {c |}
{space 15}Middle Tercile  {c |}{col 32}{res}{space 2}-2.932092{col 44}{space 2} 2.210869{col 55}{space 1}   -1.33{col 64}{space 3}0.185{col 72}{space 4}-7.265315{col 85}{space 3} 1.401132
{txt}{space 16}Upper Tercile  {c |}{col 32}{res}{space 2}-1.164506{col 44}{space 2} 2.075226{col 55}{space 1}   -0.56{col 64}{space 3}0.575{col 72}{space 4}-5.231875{col 85}{space 3} 2.902862
{txt}{space 30} {c |}
left_gini_dummies#cL.q_grow_pc {c |}
{space 15}Middle Tercile  {c |}{col 32}{res}{space 2} .1185235{col 44}{space 2} .4012383{col 55}{space 1}    0.30{col 64}{space 3}0.768{col 72}{space 4}-.6678892{col 85}{space 3} .9049362
{txt}{space 16}Upper Tercile  {c |}{col 32}{res}{space 2}-.9271869{col 44}{space 2} .3658716{col 55}{space 1}   -2.53{col 64}{space 3}0.011{col 72}{space 4}-1.644282{col 85}{space 3}-.2100917
{txt}{space 30} {c |}
{space 15}q_log_inflation {c |}
{space 27}--. {c |}{col 32}{res}{space 2}-8.345827{col 44}{space 2}  1.49104{col 55}{space 1}   -5.60{col 64}{space 3}0.000{col 72}{space 4}-11.26821{col 85}{space 3}-5.423441
{txt}{space 27}L1. {c |}{col 32}{res}{space 2}  1.96341{col 44}{space 2} 1.668872{col 55}{space 1}    1.18{col 64}{space 3}0.239{col 72}{space 4}-1.307519{col 85}{space 3} 5.234339
{txt}{space 30} {c |}
{space 17}leader_change {c |}
{space 27}--. {c |}{col 32}{res}{space 2} 3.873979{col 44}{space 2} .9895095{col 55}{space 1}    3.92{col 64}{space 3}0.000{col 72}{space 4} 1.934576{col 85}{space 3} 5.813382
{txt}{space 27}L1. {c |}{col 32}{res}{space 2} 4.246768{col 44}{space 2} .9266036{col 55}{space 1}    4.58{col 64}{space 3}0.000{col 72}{space 4} 2.430658{col 85}{space 3} 6.062878
{txt}{space 27}L2. {c |}{col 32}{res}{space 2} 1.261313{col 44}{space 2} .7342221{col 55}{space 1}    1.72{col 64}{space 3}0.086{col 72}{space 4}-.1777361{col 85}{space 3} 2.700362
{txt}{space 27}F1. {c |}{col 32}{res}{space 2} 1.113661{col 44}{space 2} .9876505{col 55}{space 1}    1.13{col 64}{space 3}0.259{col 72}{space 4}-.8220989{col 85}{space 3}  3.04942
{txt}{space 27}F2. {c |}{col 32}{res}{space 2} .0512862{col 44}{space 2} .8099572{col 55}{space 1}    0.06{col 64}{space 3}0.950{col 72}{space 4}-1.536201{col 85}{space 3} 1.638773
{txt}{space 30} {c |}
{space 25}_cons {c |}{col 32}{res}{space 2} 65.40825{col 44}{space 2} 2.591186{col 55}{space 1}   25.24{col 64}{space 3}0.000{col 72}{space 4} 60.32962{col 85}{space 3} 70.48688
{txt}{hline 31}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins, dydx(l.q_grow_pc) at(left_gini_dummies=(0 1 2)) level(90)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}       503

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Fitted values, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.q_grow_pc}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:left_gini_dummies}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:left_gini_dummies}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:left_gini_dummies}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [90% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.q_grow_pc  {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .3264066{col 26}{space 2} .1800009{col 37}{space 1}    1.81{col 46}{space 3}0.070{col 54}{space 4} .0303315{col 67}{space 3} .6224817
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .4449302{col 26}{space 2} .3621778{col 37}{space 1}    1.23{col 46}{space 3}0.219{col 54}{space 4}-.1507992{col 67}{space 3}  1.04066
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.6007803{col 26}{space 2}  .318024{col 37}{space 1}   -1.89{col 46}{space 3}0.059{col 54}{space 4}-1.123883{col 67}{space 3}-.0776774
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot, recast(scatter) yline(0) scheme(sj) graphregion(fcolor(white) lcolor(white)) title("Leftist President") 
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: left_gini_dummies{p_end}
{res}{txt}
{com}.  graph save Graph "Figure A2 1", replace
{res}{txt}(file Figure A2 1.gph saved)

{com}. 
.  xtgls approval  l(1).c.q_grow_pc##right_gini_dummies l(0/1).q_log l(0/2).leader_change f(1/2).leader_change  if  rightpres==1   , cor(psar1) force    panels(heteroskedastic) rho(freg)

{txt}Cross-sectional time-series FGLS regression

Coefficients:  {res}generalized least squares
{txt}Panels:        {res}heteroskedastic
{txt}Correlation:   {res}panel-specific AR(1)

{txt}Estimated covariances{col 28}= {res}       18{txt}{col 49}Number of obs{col 67}= {res}     1,187
{txt}Estimated autocorrelations{col 28}= {res}       18{txt}{col 49}Number of groups{col 67}= {res}        18
{txt}Estimated coefficients{col 28}= {res}       13{txt}{col 49}Obs per group:
{col 63}min{col 67}= {res}        28
{txt}{col 63}avg{col 67}=  {res} 65.94444
{txt}{col 63}max{col 67}= {res}       133
{txt}{col 49}Wald chi2({res}12{txt}){col 67}=  {res}   103.14
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000

{txt}{hline 32}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                       approval{col 33}{c |}      Coef.{col 45}   Std. Err.{col 57}      z{col 65}   P>|z|{col 73}     [95% Con{col 86}f. Interval]
{hline 32}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 22}q_grow_pc {c |}
{space 28}L1. {c |}{col 33}{res}{space 2}-.1315532{col 45}{space 2} .1941446{col 56}{space 1}   -0.68{col 65}{space 3}0.498{col 73}{space 4}-.5120696{col 86}{space 3} .2489633
{txt}{space 31} {c |}
{space 13}right_gini_dummies {c |}
{space 16}Middle Tercile  {c |}{col 33}{res}{space 2}-2.038631{col 45}{space 2} 1.534154{col 56}{space 1}   -1.33{col 65}{space 3}0.184{col 73}{space 4}-5.045518{col 86}{space 3} .9682569
{txt}{space 17}Upper Tercile  {c |}{col 33}{res}{space 2}-5.047449{col 45}{space 2} 2.040347{col 56}{space 1}   -2.47{col 65}{space 3}0.013{col 73}{space 4}-9.046456{col 86}{space 3}-1.048443
{txt}{space 31} {c |}
right_gini_dummies#cL.q_grow_pc {c |}
{space 16}Middle Tercile  {c |}{col 33}{res}{space 2} .3075657{col 45}{space 2} .2873581{col 56}{space 1}    1.07{col 65}{space 3}0.284{col 73}{space 4} -.255646{col 86}{space 3} .8707773
{txt}{space 17}Upper Tercile  {c |}{col 33}{res}{space 2} .8304932{col 45}{space 2} .3274263{col 56}{space 1}    2.54{col 65}{space 3}0.011{col 73}{space 4} .1887495{col 86}{space 3} 1.472237
{txt}{space 31} {c |}
{space 16}q_log_inflation {c |}
{space 28}--. {c |}{col 33}{res}{space 2}-1.560821{col 45}{space 2} 1.290592{col 56}{space 1}   -1.21{col 65}{space 3}0.227{col 73}{space 4}-4.090335{col 86}{space 3} .9686934
{txt}{space 28}L1. {c |}{col 33}{res}{space 2} .8395668{col 45}{space 2} 1.254281{col 56}{space 1}    0.67{col 65}{space 3}0.503{col 73}{space 4}-1.618778{col 86}{space 3} 3.297912
{txt}{space 31} {c |}
{space 18}leader_change {c |}
{space 28}--. {c |}{col 33}{res}{space 2} 5.955653{col 45}{space 2} .7782669{col 56}{space 1}    7.65{col 65}{space 3}0.000{col 73}{space 4} 4.430278{col 86}{space 3} 7.481029
{txt}{space 28}L1. {c |}{col 33}{res}{space 2} 5.038305{col 45}{space 2} .7401027{col 56}{space 1}    6.81{col 65}{space 3}0.000{col 73}{space 4}  3.58773{col 86}{space 3} 6.488879
{txt}{space 28}L2. {c |}{col 33}{res}{space 2} 2.041949{col 45}{space 2}  .579172{col 56}{space 1}    3.53{col 65}{space 3}0.000{col 73}{space 4} .9067922{col 86}{space 3} 3.177105
{txt}{space 28}F1. {c |}{col 33}{res}{space 2} 1.382457{col 45}{space 2}  .724754{col 56}{space 1}    1.91{col 65}{space 3}0.056{col 73}{space 4}-.0380352{col 86}{space 3} 2.802948
{txt}{space 28}F2. {c |}{col 33}{res}{space 2} .0333167{col 45}{space 2} .5655183{col 56}{space 1}    0.06{col 65}{space 3}0.953{col 73}{space 4}-1.075079{col 86}{space 3} 1.141712
{txt}{space 31} {c |}
{space 26}_cons {c |}{col 33}{res}{space 2} 46.37798{col 45}{space 2} 2.005506{col 56}{space 1}   23.13{col 65}{space 3}0.000{col 73}{space 4} 42.44726{col 86}{space 3}  50.3087
{txt}{hline 32}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins, dydx(l.q_grow_pc) at(right_gini_dummies=(0 1 2)) level(90)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,187

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Fitted values, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.q_grow_pc}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:right_gini_dummies}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:right_gini_dummies}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:right_gini_dummies}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [90% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.q_grow_pc  {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.1315532{col 26}{space 2} .1941446{col 37}{space 1}   -0.68{col 46}{space 3}0.498{col 54}{space 4}-.4508926{col 67}{space 3} .1877863
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .1760125{col 26}{space 2} .2165059{col 37}{space 1}    0.81{col 46}{space 3}0.416{col 54}{space 4} -.180108{col 67}{space 3}  .532133
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .6989401{col 26}{space 2} .2656152{col 37}{space 1}    2.63{col 46}{space 3}0.009{col 54}{space 4}  .262042{col 67}{space 3} 1.135838
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot, recast(scatter) yline(0) scheme(sj) graphregion(fcolor(white) lcolor(white)) title("Rightist President")
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: right_gini_dummies{p_end}
{res}{txt}
{com}.  graph save Graph "Figure A2 2", replace
{res}{txt}(file Figure A2 2.gph saved)

{com}. 
. 
.  graph combine "Figure A2 1" "Figure A2 2" , title("Figure A2. Conditional Effect of Growth on Approval by Inequality Tercile , 90% c.i.", size(medium)) scheme(sj) graphregion(fcolor(white) lcolor(white) ifcolor(white) ilcolor(white)) 
{res}{txt}
{com}. 
.   ***end macro approval section***
.   
.   ***Individual Level Analyses section***
.   
. use "PRSM latinobarometer data.dta", clear
{txt}
{com}. 
. 
. ** generating table 3
. 
. ** Model 1-no interaction
. 
. mixed ego_retro3 C.wt_grow C.gini_rec C.quintall_rec female age edu congruence || _all: R.year || country: quintall congruence   
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-224435.65}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-224435.65}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}   208,378

{txt}{hline 16}{c TT}{hline 44}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum
{hline 16}{c +}{hline 44}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}  208,378{col 42}208,378.0{col 53}  208,378
{col 9}country{txt}{col 17}{c |}{res}{col 21}      18{col 31}    7,811{col 42} 11,576.6{col 53}   16,146
{txt}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}  4514.70
{txt}Log likelihood = {res}-224435.65{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  ego_retro3{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}wt_grow {c |}{col 14}{res}{space 2} .0346284{col 26}{space 2}  .000739{col 37}{space 1}   46.86{col 46}{space 3}0.000{col 54}{space 4}   .03318{col 67}{space 3} .0360768
{txt}{space 4}gini_rec {c |}{col 14}{res}{space 2} -.558513{col 26}{space 2} .0997435{col 37}{space 1}   -5.60{col 46}{space 3}0.000{col 54}{space 4}-.7540067{col 67}{space 3}-.3630193
{txt}quintall_rec {c |}{col 14}{res}{space 2} .0316996{col 26}{space 2} .0047376{col 37}{space 1}    6.69{col 46}{space 3}0.000{col 54}{space 4} .0224141{col 67}{space 3} .0409851
{txt}{space 6}female {c |}{col 14}{res}{space 2}-.0193583{col 26}{space 2} .0031169{col 37}{space 1}   -6.21{col 46}{space 3}0.000{col 54}{space 4}-.0254673{col 67}{space 3}-.0132494
{txt}{space 9}age {c |}{col 14}{res}{space 2}-.0045661{col 26}{space 2} .0001036{col 37}{space 1}  -44.06{col 46}{space 3}0.000{col 54}{space 4}-.0047692{col 67}{space 3} -.004363
{txt}{space 9}edu {c |}{col 14}{res}{space 2}   .00097{col 26}{space 2} .0010876{col 37}{space 1}    0.89{col 46}{space 3}0.372{col 54}{space 4}-.0011617{col 67}{space 3} .0031016
{txt}{space 2}congruence {c |}{col 14}{res}{space 2} .0091112{col 26}{space 2} .0037303{col 37}{space 1}    2.44{col 46}{space 3}0.015{col 54}{space 4}    .0018{col 67}{space 3} .0164224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 1.029962{col 26}{space 2} .0531594{col 37}{space 1}   19.37{col 46}{space 3}0.000{col 54}{space 4} .9257717{col 67}{space 3} 1.134153
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.year){col 30}{c |}{res}{col 33} .0160516{col 44} .0059626{col 58} .0077505{col 70} .0332436
{txt}{hline 29}{c +}{hline 48}
{res}country{txt}: Independent{col 30}{c |}
{space 15}var(quintall) {c |}{res}{col 33} .0003762{col 44} .0001326{col 58} .0001885{col 70} .0007508
{txt}{space 13}var(congruence) {c |}{res}{col 33} .0002389{col 44} .0000833{col 58} .0001205{col 70} .0004733
{txt}{space 18}var(_cons) {c |}{res}{col 33} .0275422{col 44}  .009504{col 58} .0140047{col 70} .0541657
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} .5039678{col 44} .0015616{col 58} .5009164{col 70} .5070377
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}4{txt}) = {res}7825.14{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}

{com}. 
. ** Model 2-interaction of inequality and growth
. 
. mixed ego_retro3 C.wt_grow##C.gini_rec C.quintall_rec female age edu congruence || _all: R.year || country: quintall congruence   
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-224432.03}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-224432.03}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}   208,378

{txt}{hline 16}{c TT}{hline 44}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum
{hline 16}{c +}{hline 44}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}  208,378{col 42}208,378.0{col 53}  208,378
{col 9}country{txt}{col 17}{c |}{res}{col 21}      18{col 31}    7,811{col 42} 11,576.6{col 53}   16,146
{txt}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}8{txt}){col 67}={col 70}{res}  4522.16
{txt}Log likelihood = {res}-224432.03{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          ego_retro3{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}wt_grow {c |}{col 22}{res}{space 2} .0376206{col 34}{space 2} .0013342{col 45}{space 1}   28.20{col 54}{space 3}0.000{col 62}{space 4} .0350057{col 75}{space 3} .0402355
{txt}{space 12}gini_rec {c |}{col 22}{res}{space 2}-.4543938{col 34}{space 2} .1069739{col 45}{space 1}   -4.25{col 54}{space 3}0.000{col 62}{space 4}-.6640588{col 75}{space 3}-.2447287
{txt}{space 20} {c |}
c.wt_grow#c.gini_rec {c |}{col 22}{res}{space 2}-.0393873{col 34}{space 2} .0146222{col 45}{space 1}   -2.69{col 54}{space 3}0.007{col 62}{space 4}-.0680463{col 75}{space 3}-.0107283
{txt}{space 20} {c |}
{space 8}quintall_rec {c |}{col 22}{res}{space 2} .0316751{col 34}{space 2} .0047384{col 45}{space 1}    6.68{col 54}{space 3}0.000{col 62}{space 4}  .022388{col 75}{space 3} .0409622
{txt}{space 14}female {c |}{col 22}{res}{space 2} -.019324{col 34}{space 2} .0031168{col 45}{space 1}   -6.20{col 54}{space 3}0.000{col 62}{space 4}-.0254329{col 75}{space 3}-.0132151
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0045667{col 34}{space 2} .0001036{col 45}{space 1}  -44.07{col 54}{space 3}0.000{col 62}{space 4}-.0047698{col 75}{space 3}-.0043636
{txt}{space 17}edu {c |}{col 22}{res}{space 2} .0009935{col 34}{space 2} .0010876{col 45}{space 1}    0.91{col 54}{space 3}0.361{col 62}{space 4}-.0011381{col 75}{space 3} .0031252
{txt}{space 10}congruence {c |}{col 22}{res}{space 2} .0091742{col 34}{space 2} .0037148{col 45}{space 1}    2.47{col 54}{space 3}0.014{col 62}{space 4} .0018932{col 75}{space 3} .0164552
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 1.023235{col 34}{space 2} .0531786{col 45}{space 1}   19.24{col 54}{space 3}0.000{col 62}{space 4} .9190064{col 75}{space 3} 1.127463
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.year){col 30}{c |}{res}{col 33} .0160194{col 44} .0059507{col 58} .0077349{col 70} .0331773
{txt}{hline 29}{c +}{hline 48}
{res}country{txt}: Independent{col 30}{c |}
{space 15}var(quintall) {c |}{res}{col 33} .0003764{col 44} .0001327{col 58} .0001886{col 70} .0007511
{txt}{space 13}var(congruence) {c |}{res}{col 33} .0002368{col 44} .0000827{col 58} .0001195{col 70} .0004693
{txt}{space 18}var(_cons) {c |}{res}{col 33} .0275054{col 44} .0094919{col 58} .0139855{col 70} .0540954
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} .5039507{col 44} .0015615{col 58} .5008994{col 70} .5070206
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}4{txt}) = {res}7831.99{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}

{com}. 
. ** Model 5-Three way interaction term
. 
. mixed ego_retro3 C.wt_grow##C.gini_rec##C.quintall_rec female age edu congruence || _all: R.year || country: quintall congruence   
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-224422.38}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-224422.38}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}   208,378

{txt}{hline 16}{c TT}{hline 44}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum
{hline 16}{c +}{hline 44}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}  208,378{col 42}208,378.0{col 53}  208,378
{col 9}country{txt}{col 17}{c |}{res}{col 21}      18{col 31}    7,811{col 42} 11,576.6{col 53}   16,146
{txt}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}11{txt}){col 67}={col 70}{res}  4543.64
{txt}Log likelihood = {res}-224422.38{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 36}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                         ego_retro3{col 37}{c |}      Coef.{col 49}   Std. Err.{col 61}      z{col 69}   P>|z|{col 77}     [95% Con{col 90}f. Interval]
{hline 36}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 28}wt_grow {c |}{col 37}{res}{space 2} .0420045{col 49}{space 2}  .002273{col 60}{space 1}   18.48{col 69}{space 3}0.000{col 77}{space 4} .0375494{col 90}{space 3} .0464595
{txt}{space 27}gini_rec {c |}{col 37}{res}{space 2} -.120763{col 49}{space 2}  .149494{col 60}{space 1}   -0.81{col 69}{space 3}0.419{col 77}{space 4}-.4137658{col 90}{space 3} .1722399
{txt}{space 35} {c |}
{space 15}c.wt_grow#c.gini_rec {c |}{col 37}{res}{space 2}-.1107116{col 49}{space 2} .0245512{col 60}{space 1}   -4.51{col 69}{space 3}0.000{col 77}{space 4}-.1588311{col 90}{space 3} -.062592
{txt}{space 35} {c |}
{space 23}quintall_rec {c |}{col 37}{res}{space 2} .0433057{col 49}{space 2} .0072305{col 60}{space 1}    5.99{col 69}{space 3}0.000{col 77}{space 4} .0291342{col 90}{space 3} .0574773
{txt}{space 35} {c |}
{space 11}c.wt_grow#c.quintall_rec {c |}{col 37}{res}{space 2}-.0022044{col 49}{space 2}  .000936{col 60}{space 1}   -2.36{col 69}{space 3}0.019{col 77}{space 4} -.004039{col 90}{space 3}-.0003698
{txt}{space 35} {c |}
{space 10}c.gini_rec#c.quintall_rec {c |}{col 37}{res}{space 2}-.1658635{col 49}{space 2} .0520601{col 60}{space 1}   -3.19{col 69}{space 3}0.001{col 77}{space 4}-.2678994{col 90}{space 3}-.0638276
{txt}{space 35} {c |}
c.wt_grow#c.gini_rec#c.quintall_rec {c |}{col 37}{res}{space 2} .0354699{col 49}{space 2} .0099012{col 60}{space 1}    3.58{col 69}{space 3}0.000{col 77}{space 4} .0160639{col 90}{space 3} .0548758
{txt}{space 35} {c |}
{space 29}female {c |}{col 37}{res}{space 2}-.0193036{col 49}{space 2} .0031168{col 60}{space 1}   -6.19{col 69}{space 3}0.000{col 77}{space 4}-.0254124{col 90}{space 3}-.0131948
{txt}{space 32}age {c |}{col 37}{res}{space 2}-.0045647{col 49}{space 2} .0001036{col 60}{space 1}  -44.05{col 69}{space 3}0.000{col 77}{space 4}-.0047678{col 90}{space 3}-.0043616
{txt}{space 32}edu {c |}{col 37}{res}{space 2} .0009604{col 49}{space 2} .0010877{col 60}{space 1}    0.88{col 69}{space 3}0.377{col 77}{space 4}-.0011714{col 90}{space 3} .0030922
{txt}{space 25}congruence {c |}{col 37}{res}{space 2} .0091901{col 49}{space 2} .0037141{col 60}{space 1}    2.47{col 69}{space 3}0.013{col 77}{space 4} .0019106{col 90}{space 3} .0164695
{txt}{space 30}_cons {c |}{col 37}{res}{space 2} .9999236{col 49}{space 2} .0538537{col 60}{space 1}   18.57{col 69}{space 3}0.000{col 77}{space 4} .8943723{col 90}{space 3} 1.105475
{txt}{hline 36}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.year){col 30}{c |}{res}{col 33} .0160096{col 44} .0059452{col 58} .0077319{col 70} .0331493
{txt}{hline 29}{c +}{hline 48}
{res}country{txt}: Independent{col 30}{c |}
{space 15}var(quintall) {c |}{res}{col 33} .0003636{col 44} .0001291{col 58} .0001813{col 70} .0007293
{txt}{space 13}var(congruence) {c |}{res}{col 33} .0002367{col 44} .0000826{col 58} .0001194{col 70} .0004691
{txt}{space 18}var(_cons) {c |}{res}{col 33} .0265624{col 44} .0091941{col 58} .0134784{col 70} .0523475
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} .5039069{col 44} .0015614{col 58} .5008559{col 70} .5069765
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}4{txt}) = {res}7806.50{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}

{com}. 
. ** model 3-interaction of inequality and growth for the poorest quintile
. 
. mixed ego_retro3 C.wt_grow##C.gini_rec female age edu congruence || _all: R.year || country: congruence    if  quintall==1
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-43754.287}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-43754.287}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    39,811

{txt}{hline 16}{c TT}{hline 44}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum
{hline 16}{c +}{hline 44}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}   39,811{col 42} 39,811.0{col 53}   39,811
{col 9}country{txt}{col 17}{c |}{res}{col 21}      18{col 31}    1,460{col 42}  2,211.7{col 53}    3,231
{txt}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}   803.92
{txt}Log likelihood = {res}-43754.287{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          ego_retro3{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}wt_grow {c |}{col 22}{res}{space 2} .0392893{col 34}{space 2} .0030438{col 45}{space 1}   12.91{col 54}{space 3}0.000{col 62}{space 4} .0333235{col 75}{space 3} .0452551
{txt}{space 12}gini_rec {c |}{col 22}{res}{space 2}-.5355281{col 34}{space 2} .2426758{col 45}{space 1}   -2.21{col 54}{space 3}0.027{col 62}{space 4}-1.011164{col 75}{space 3}-.0598923
{txt}{space 20} {c |}
c.wt_grow#c.gini_rec {c |}{col 22}{res}{space 2}-.0814348{col 34}{space 2} .0334034{col 45}{space 1}   -2.44{col 54}{space 3}0.015{col 62}{space 4}-.1469043{col 75}{space 3}-.0159654
{txt}{space 20} {c |}
{space 14}female {c |}{col 22}{res}{space 2}-.0142065{col 34}{space 2} .0072856{col 45}{space 1}   -1.95{col 54}{space 3}0.051{col 62}{space 4}-.0284861{col 75}{space 3}  .000073
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0041788{col 34}{space 2} .0002425{col 45}{space 1}  -17.23{col 54}{space 3}0.000{col 62}{space 4} -.004654{col 75}{space 3}-.0037035
{txt}{space 17}edu {c |}{col 22}{res}{space 2} .0096217{col 34}{space 2} .0027272{col 45}{space 1}    3.53{col 54}{space 3}0.000{col 62}{space 4} .0042765{col 75}{space 3} .0149669
{txt}{space 10}congruence {c |}{col 22}{res}{space 2} .0077239{col 34}{space 2} .0032968{col 45}{space 1}    2.34{col 54}{space 3}0.019{col 62}{space 4} .0012624{col 75}{space 3} .0141854
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 1.008425{col 34}{space 2} .0549906{col 45}{space 1}   18.34{col 54}{space 3}0.000{col 62}{space 4} .9006458{col 75}{space 3} 1.116205
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.year){col 30}{c |}{res}{col 33} .0136632{col 44} .0052095{col 58} .0064716{col 70} .0288467
{txt}{hline 29}{c +}{hline 48}
{res}country{txt}: Independent{col 30}{c |}
{space 13}var(congruence) {c |}{res}{col 33}  .000138{col 44} .0000648{col 58}  .000055{col 70} .0003464
{txt}{space 18}var(_cons) {c |}{res}{col 33} .0179244{col 44} .0069217{col 58}  .008409{col 70} .0382073
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} .5252722{col 44} .0037258{col 58} .5180203{col 70} .5326256
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}3{txt}) = {res}1515.41{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}

{com}. 
. ** model 4-interaction of inequality and growth for the wealthiest quintile
. 
. mixed ego_retro3 C.wt_grow##C.gini_rec female age edu congruence || _all: R.year || country: congruence    if quintall==5
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-43404.305}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-43404.305}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    40,917

{txt}{hline 16}{c TT}{hline 44}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum
{hline 16}{c +}{hline 44}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}   40,917{col 42} 40,917.0{col 53}   40,917
{col 9}country{txt}{col 17}{c |}{res}{col 21}      18{col 31}    1,571{col 42}  2,273.2{col 53}    2,737
{txt}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}   903.25
{txt}Log likelihood = {res}-43404.305{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          ego_retro3{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}wt_grow {c |}{col 22}{res}{space 2} .0299564{col 34}{space 2} .0031297{col 45}{space 1}    9.57{col 54}{space 3}0.000{col 62}{space 4} .0238222{col 75}{space 3} .0360905
{txt}{space 12}gini_rec {c |}{col 22}{res}{space 2} -.678878{col 34}{space 2} .2341122{col 45}{space 1}   -2.90{col 54}{space 3}0.004{col 62}{space 4}-1.137729{col 75}{space 3}-.2200265
{txt}{space 20} {c |}
c.wt_grow#c.gini_rec {c |}{col 22}{res}{space 2} .0653094{col 34}{space 2} .0331908{col 45}{space 1}    1.97{col 54}{space 3}0.049{col 62}{space 4} .0002567{col 75}{space 3} .1303621
{txt}{space 20} {c |}
{space 14}female {c |}{col 22}{res}{space 2}-.0313078{col 34}{space 2} .0069411{col 45}{space 1}   -4.51{col 54}{space 3}0.000{col 62}{space 4}-.0449121{col 75}{space 3}-.0177036
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0047288{col 34}{space 2}  .000231{col 45}{space 1}  -20.47{col 54}{space 3}0.000{col 62}{space 4}-.0051815{col 75}{space 3} -.004276
{txt}{space 17}edu {c |}{col 22}{res}{space 2}-.0015666{col 34}{space 2} .0023111{col 45}{space 1}   -0.68{col 54}{space 3}0.498{col 62}{space 4}-.0060963{col 75}{space 3} .0029631
{txt}{space 10}congruence {c |}{col 22}{res}{space 2} .0075039{col 34}{space 2}  .004388{col 45}{space 1}    1.71{col 54}{space 3}0.087{col 62}{space 4}-.0010964{col 75}{space 3} .0161042
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 1.199529{col 34}{space 2} .0561418{col 45}{space 1}   21.37{col 54}{space 3}0.000{col 62}{space 4} 1.089494{col 75}{space 3} 1.309565
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.year){col 30}{c |}{res}{col 33} .0168607{col 44} .0063598{col 58} .0080502{col 70} .0353139
{txt}{hline 29}{c +}{hline 48}
{res}country{txt}: Independent{col 30}{c |}
{space 13}var(congruence) {c |}{res}{col 33} .0002876{col 44}  .000115{col 58} .0001313{col 70} .0006297
{txt}{space 18}var(_cons) {c |}{res}{col 33} .0177368{col 44} .0071361{col 58} .0080614{col 70} .0390247
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} .4864306{col 44} .0034033{col 58} .4798057{col 70} .4931469
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}3{txt}) = {res}1402.28{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}

{com}. 
. ** Creating Figure 4
. 
. ** run the model without GINI recentered
. 
. mixed ego_retro3 C.wt_grow##C.gini##C.quintall female age edu congruence || _all: R.year || country: quintall congruence  
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-224422.38}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-224422.38}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}   208,378

{txt}{hline 16}{c TT}{hline 44}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum
{hline 16}{c +}{hline 44}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}  208,378{col 42}208,378.0{col 53}  208,378
{col 9}country{txt}{col 17}{c |}{res}{col 21}      18{col 31}    7,811{col 42} 11,576.6{col 53}   16,146
{txt}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}11{txt}){col 67}={col 70}{res}  4543.64
{txt}Log likelihood = {res}-224422.38{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                 ego_retro3{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      z{col 61}   P>|z|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}wt_grow {c |}{col 29}{res}{space 2} .0962156{col 41}{space 2} .0145361{col 52}{space 1}    6.62{col 61}{space 3}0.000{col 69}{space 4} .0677253{col 82}{space 3} .1247059
{txt}{space 23}gini {c |}{col 29}{res}{space 2} .0451005{col 41}{space 2} .1895566{col 52}{space 1}    0.24{col 61}{space 3}0.812{col 69}{space 4}-.3264236{col 82}{space 3} .4166247
{txt}{space 27} {c |}
{space 11}c.wt_grow#c.gini {c |}{col 29}{res}{space 2}-.1461814{col 41}{space 2} .0330343{col 52}{space 1}   -4.43{col 61}{space 3}0.000{col 69}{space 4}-.2109276{col 82}{space 3}-.0814353
{txt}{space 27} {c |}
{space 19}quintall {c |}{col 29}{res}{space 2} .1023147{col 41}{space 2} .0242774{col 52}{space 1}    4.21{col 61}{space 3}0.000{col 69}{space 4} .0547319{col 82}{space 3} .1498975
{txt}{space 27} {c |}
{space 7}c.wt_grow#c.quintall {c |}{col 29}{res}{space 2}-.0148235{col 41}{space 2} .0043795{col 52}{space 1}   -3.38{col 61}{space 3}0.001{col 69}{space 4}-.0234072{col 82}{space 3}-.0062398
{txt}{space 27} {c |}
{space 10}c.gini#c.quintall {c |}{col 29}{res}{space 2}-.1658635{col 41}{space 2} .0520601{col 52}{space 1}   -3.19{col 61}{space 3}0.001{col 69}{space 4}-.2678994{col 82}{space 3}-.0638276
{txt}{space 27} {c |}
c.wt_grow#c.gini#c.quintall {c |}{col 29}{res}{space 2} .0354699{col 41}{space 2} .0099012{col 52}{space 1}    3.58{col 61}{space 3}0.000{col 69}{space 4} .0160639{col 82}{space 3} .0548758
{txt}{space 27} {c |}
{space 21}female {c |}{col 29}{res}{space 2}-.0193036{col 41}{space 2} .0031168{col 52}{space 1}   -6.19{col 61}{space 3}0.000{col 69}{space 4}-.0254124{col 82}{space 3}-.0131948
{txt}{space 24}age {c |}{col 29}{res}{space 2}-.0045647{col 41}{space 2} .0001036{col 52}{space 1}  -44.05{col 61}{space 3}0.000{col 69}{space 4}-.0047678{col 82}{space 3}-.0043616
{txt}{space 24}edu {c |}{col 29}{res}{space 2} .0009604{col 41}{space 2} .0010877{col 52}{space 1}    0.88{col 61}{space 3}0.377{col 69}{space 4}-.0011714{col 82}{space 3} .0030922
{txt}{space 17}congruence {c |}{col 29}{res}{space 2} .0091901{col 41}{space 2} .0037141{col 52}{space 1}    2.47{col 61}{space 3}0.013{col 69}{space 4} .0019106{col 82}{space 3} .0164695
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} .9405726{col 41}{space 2} .1009651{col 52}{space 1}    9.32{col 61}{space 3}0.000{col 69}{space 4} .7426846{col 82}{space 3} 1.138461
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.year){col 30}{c |}{res}{col 33} .0160096{col 44} .0059452{col 58} .0077319{col 70} .0331493
{txt}{hline 29}{c +}{hline 48}
{res}country{txt}: Independent{col 30}{c |}
{space 15}var(quintall) {c |}{res}{col 33} .0003636{col 44} .0001291{col 58} .0001813{col 70} .0007293
{txt}{space 13}var(congruence) {c |}{res}{col 33} .0002367{col 44} .0000826{col 58} .0001194{col 70} .0004691
{txt}{space 18}var(_cons) {c |}{res}{col 33} .0265624{col 44} .0091941{col 58} .0134784{col 70} .0523475
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} .5039069{col 44} .0015614{col 58} .5008559{col 70} .5069765
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}4{txt}) = {res}7806.50{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}

{com}. 
. gen pipe = "|"
{txt}
{com}. gen where=0.0035
{txt}
{com}. egen tag_gini = tag(gini)
{txt}
{com}. 
. ** to generate graphs with the rugplot, you need to generate them a figure at a time
. 
. ** do the poorest quintile
. 
. margins , dydx(wt_grow) at(gini=(.35(.02).55) quintall=(1)) level(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}   208,378

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:wt_grow}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:gini}{space 12}{txt:=} {space 8}.35}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:quintall}{space 8}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:gini}{space 12}{txt:=} {space 8}.37}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:quintall}{space 8}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:gini}{space 12}{txt:=} {space 8}.39}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:quintall}{space 8}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:gini}{space 12}{txt:=} {space 8}.41}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:quintall}{space 8}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:gini}{space 12}{txt:=} {space 8}.43}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:quintall}{space 8}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:gini}{space 12}{txt:=} {space 8}.45}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:quintall}{space 8}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:gini}{space 12}{txt:=} {space 8}.47}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:quintall}{space 8}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:gini}{space 12}{txt:=} {space 8}.49}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:quintall}{space 8}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:gini}{space 12}{txt:=} {space 8}.51}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:quintall}{space 8}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:gini}{space 12}{txt:=} {space 8}.53}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:quintall}{space 8}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:gini}{space 12}{txt:=} {space 8}.55}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:quintall}{space 8}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}wt_grow      {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0426431{col 26}{space 2} .0023972{col 37}{space 1}   17.79{col 46}{space 3}0.000{col 54}{space 4} .0379447{col 67}{space 3} .0473415
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0404288{col 26}{space 2} .0019768{col 37}{space 1}   20.45{col 46}{space 3}0.000{col 54}{space 4} .0365544{col 67}{space 3} .0443033
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0382146{col 26}{space 2} .0015973{col 37}{space 1}   23.93{col 46}{space 3}0.000{col 54}{space 4}  .035084{col 67}{space 3} .0413452
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0360004{col 26}{space 2}  .001295{col 37}{space 1}   27.80{col 46}{space 3}0.000{col 54}{space 4} .0334623{col 67}{space 3} .0385385
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .0337862{col 26}{space 2} .0011335{col 37}{space 1}   29.81{col 46}{space 3}0.000{col 54}{space 4} .0315645{col 67}{space 3} .0360078
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .0315719{col 26}{space 2} .0011726{col 37}{space 1}   26.92{col 46}{space 3}0.000{col 54}{space 4} .0292737{col 67}{space 3} .0338702
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .0293577{col 26}{space 2} .0013955{col 37}{space 1}   21.04{col 46}{space 3}0.000{col 54}{space 4} .0266226{col 67}{space 3} .0320928
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .0271435{col 26}{space 2} .0017326{col 37}{space 1}   15.67{col 46}{space 3}0.000{col 54}{space 4} .0237476{col 67}{space 3} .0305393
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .0249292{col 26}{space 2} .0021304{col 37}{space 1}   11.70{col 46}{space 3}0.000{col 54}{space 4} .0207537{col 67}{space 3} .0291048
{txt}{space 9}10  {c |}{col 14}{res}{space 2}  .022715{col 26}{space 2} .0025608{col 37}{space 1}    8.87{col 46}{space 3}0.000{col 54}{space 4} .0176959{col 67}{space 3} .0277341
{txt}{space 9}11  {c |}{col 14}{res}{space 2} .0205008{col 26}{space 2} .0030098{col 37}{space 1}    6.81{col 46}{space 3}0.000{col 54}{space 4} .0146017{col 67}{space 3} .0263998
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot, recast(line) recastci(rline) yline(0) addplot(scatter where gini if tag_gini, plotr(m(b 4)) ms(none) mlabcolor(gs5) mlabel(pipe) mlabpos(6) legend(off) below ) xtitle( "Inequality") ytitle("Estimated Marginal Effect") title("Lowest Quintile") xlabel(0.35(0.02)0.55)
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: gini{p_end}
{res}{txt}
{com}. 
. ** then edit the graph to take away the gridlines because nogrid does not seem to work and to make the margin white because fcolor does not work either
. 
. ** Save the graph 
. graph save Graph "Egotropic via Growth and Inequality-lowest quintall.gph", replace
{res}{txt}(file Egotropic via Growth and Inequality-lowest quintall.gph saved)

{com}. 
. ** Repeat for the highest quintile 
. 
. margins , dydx(wt_grow) at(gini=(.35(.02).55) quintall=(5)) level(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}   208,378

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:wt_grow}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:gini}{space 12}{txt:=} {space 8}.35}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:quintall}{space 8}{txt:=} {space 10}5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:gini}{space 12}{txt:=} {space 8}.37}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:quintall}{space 8}{txt:=} {space 10}5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:gini}{space 12}{txt:=} {space 8}.39}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:quintall}{space 8}{txt:=} {space 10}5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:gini}{space 12}{txt:=} {space 8}.41}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:quintall}{space 8}{txt:=} {space 10}5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:gini}{space 12}{txt:=} {space 8}.43}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:quintall}{space 8}{txt:=} {space 10}5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:gini}{space 12}{txt:=} {space 8}.45}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:quintall}{space 8}{txt:=} {space 10}5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:gini}{space 12}{txt:=} {space 8}.47}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:quintall}{space 8}{txt:=} {space 10}5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:gini}{space 12}{txt:=} {space 8}.49}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:quintall}{space 8}{txt:=} {space 10}5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:gini}{space 12}{txt:=} {space 8}.51}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:quintall}{space 8}{txt:=} {space 10}5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:gini}{space 12}{txt:=} {space 8}.53}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:quintall}{space 8}{txt:=} {space 10}5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:gini}{space 12}{txt:=} {space 8}.55}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:quintall}{space 8}{txt:=} {space 10}5}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}wt_grow      {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0330071{col 26}{space 2} .0024506{col 37}{space 1}   13.47{col 46}{space 3}0.000{col 54}{space 4} .0282039{col 67}{space 3} .0378102
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0336304{col 26}{space 2} .0020242{col 37}{space 1}   16.61{col 46}{space 3}0.000{col 54}{space 4}  .029663{col 67}{space 3} .0375978
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0342538{col 26}{space 2} .0016361{col 37}{space 1}   20.94{col 46}{space 3}0.000{col 54}{space 4}  .031047{col 67}{space 3} .0374606
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0348771{col 26}{space 2} .0013206{col 37}{space 1}   26.41{col 46}{space 3}0.000{col 54}{space 4} .0322888{col 67}{space 3} .0374655
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .0355005{col 26}{space 2} .0011395{col 37}{space 1}   31.15{col 46}{space 3}0.000{col 54}{space 4} .0332671{col 67}{space 3} .0377339
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .0361239{col 26}{space 2} .0011578{col 37}{space 1}   31.20{col 46}{space 3}0.000{col 54}{space 4} .0338545{col 67}{space 3} .0383932
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .0367472{col 26}{space 2} .0013676{col 37}{space 1}   26.87{col 46}{space 3}0.000{col 54}{space 4} .0340669{col 67}{space 3} .0394276
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .0373706{col 26}{space 2} .0016992{col 37}{space 1}   21.99{col 46}{space 3}0.000{col 54}{space 4} .0340402{col 67}{space 3}  .040701
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .0379939{col 26}{space 2} .0020957{col 37}{space 1}   18.13{col 46}{space 3}0.000{col 54}{space 4} .0338864{col 67}{space 3} .0421015
{txt}{space 9}10  {c |}{col 14}{res}{space 2} .0386173{col 26}{space 2} .0025267{col 37}{space 1}   15.28{col 46}{space 3}0.000{col 54}{space 4} .0336651{col 67}{space 3} .0435695
{txt}{space 9}11  {c |}{col 14}{res}{space 2} .0392407{col 26}{space 2} .0029772{col 37}{space 1}   13.18{col 46}{space 3}0.000{col 54}{space 4} .0334054{col 67}{space 3} .0450759
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot, recast(line) recastci(rline) yline(0) addplot(scatter where gini if tag_gini, plotr(m(b 4)) ms(none) mlabcolor(gs5) mlabel(pipe) mlabpos(6) legend(off) below ) xtitle( "Inequality") ytitle("Estimated Marginal Effect") title("Highest Quintile") xlabel(0.35(0.02)0.55) 
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: gini{p_end}
{res}{txt}
{com}. 
. ** then edit the graph to take away the gridlines because nogrid does not seem to work with marginsplot and to make the margin white because fcolor does not work either
. 
. ** Save the graph
. graph save Graph "Egotropic via Growth and Inequality-highest quintall.gph", replace
{res}{txt}(file Egotropic via Growth and Inequality-highest quintall.gph saved)

{com}. 
. **then combine the graphs into figure 4
. 
. gr combine "Egotropic via Growth and Inequality-lowest quintall.gph" "Egotropic via Growth and Inequality-highest quintall.gph", title(Figure 4. Marginal Effects of Growth Rate on Egotropic Perceptions with 95% c.i.)
{res}{txt}
{com}. 
. ** Then edit the graph so that the outer egion is white and to wrap and center the title
. 
. graph save Graph "figure 4.gph", replace
{res}{txt}(file figure 4.gph saved)

{com}. 
. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}/Users/gregorylove/Dropbox/PSRM revisions/PSRM replication_4_26.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}26 Apr 2021, 12:29:56
{txt}{.-}
{smcl}
{txt}{sf}{ul off}